{ "document_id": 13135, "filename": "soil_moisture_5_accessible_061322.pdf", "engine": "paddleocr_vl", "source_run_id": 13249, "generated_at": "2026-11-03T18:24:28+00:00", "page_count": 15, "counts_by_type": { "caption": 2, "figure": 3, "footer": 3, "header": 3, "heading": 7, "table": 15, "table_cell": 407, "text": 62, "title": 1 }, "timings": { "total_ms": 2677, "structure_ms": 918, "text_layer_ms": 44, "build_ms": 61 }, "pages": [ { "document_id": 13135, "page": 1, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 10, "counts_by_type": { "figure": 1, "heading": 3, "text": 5, "title": 1 }, "build_ms": 2, "items": [ { "id": "p1.1", "order": 1, "type": "figure", "bbox": { "l": 32.88, "t": 761.28, "r": 579.36, "b": 690.24 }, "text": "", "attrs": { "role": "page_header", "block_label": "header_image", "embedded_text": "COOPERATIVE\nFACT SHEET\nEXTENSION\nKSU EXTENSION CONNECTIONS" }, "reading_order": 0 }, { "id": "p1.2", "order": 2, "type": "text", "bbox": { "l": 34.32, "t": 677.28, "r": 578.64, "b": 662.64 }, "text": "Information about the Kentucky State University Cooperative Extension Program 2022", "reading_order": 1 }, { "id": "p1.3", "order": 3, "type": "title", "bbox": { "l": 43.44, "t": 644.88, "r": 565.68, "b": 591.12 }, "text": "A Guideline for Selecting the Best Soil Moisture Sensors", "attrs": { "block_label": "doc_title" }, "level": 2, "reading_order": 2 }, { "id": "p1.4", "order": 4, "type": "text", "bbox": { "l": 107.76, "t": 582, "r": 502.8, "b": 566.4 }, "text": "Mohammad Valipour, PhD, Assistant Professor, Kentucky State University", "reading_order": 3 }, { "id": "p1.5", "order": 5, "type": "heading", "bbox": { "l": 33.12, "t": 555.12, "r": 114.96, "b": 539.52 }, "text": "Introduction", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 4 }, { "id": "p1.6", "order": 6, "type": "heading", "bbox": { "l": 312.24, "t": 555.12, "r": 488.88, "b": 539.04 }, "text": "Plant available water (PAW)", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 5 }, { "id": "p1.7", "order": 7, "type": "text", "bbox": { "l": 32.16, "t": 522.72, "r": 299.04, "b": 59.04 }, "text": "Although only 8.2% of farms in Kentucky have been equipped with soil moisture sensors (SMS), this amount is higher than in 27 other states in the US (Kukal et al., 2020). On most Kentucky farms (more than 90%), irrigation scheduling has been applied based on empirical methods including condition of crop, soil type, personal calendar schedule, and when neighbors begin (United States Department of Agriculture (USDA), 2018). Most SMS are easy to use and affordable for monitoring soil moisture and irrigation scheduling. SMS can help farmers to enhance water use efficiency (WUE) and increase profits while substantially reducing use of water and energy. In addition, using SMS decreases erosion and leaching of chemicals such as pesticides, fertilizers, and soil nutrients. The other advantage of SMS is helping farmers apply water at optimum rates and only where needed. Blonquist Jr. et al. (2006) evaluated the performance of SMS under Kentucky Turf Grass in a silt loam soil. Relative to evapotranspiration (ET) based irrigation recommendations, the SMS helped to save 16% less irrigation water. Also, relative to a fixed irrigation rate of 2 inches per week, the SMS helped to apply 53% less water. In a newer study, Viloria and Dunwell (2017) demonstrated that SMS can help reduce irrigation water applications by 40 - 70% of irrigation without using SMS. It is worth mentioning that an average 50% reduction in irrigation can save over 43 million gallons of water and $6,500 in pumping cost annually in Kentucky (Viloria and Dunwell, 2017). Using SMS in fields can increase average net income by almost 20% and, for some crops like soybean, by 64% (Payero, 2021). Now the question is which SMS is best for Kentucky conditions. The objective of this fact sheet is to present a guideline for Kentucky farmers to select the best SMS for their farms with respect to various factors, including cost, soil texture, soil salinity, ease of operation, calibration, and performance accuracy.", "reading_order": 6 }, { "id": "p1.8", "order": 8, "type": "text", "bbox": { "l": 310.8, "t": 527.04, "r": 575.04, "b": 233.76 }, "text": "SMS usually measure soil volumetric water content. PAW is the water available to support plant growth. PAW as a function of soil volumetric water content. PAW capacity equals the difference between field capacity (FC) and the permanent wilting point (PWP). FC is the maximum amount of water that a soil can hold. The PWP is the point when there is no water available to the plant. Table 1 shows FC, PWP, and PAW capacity for different types of soil texture. For example, a silt loam soil (which is the predominant soil texture in Kentucky) has a PAW capacity of 0.21. For a plant with a root depth of 19 inches, the total amount of PAW capacity is 0.21 × 19 = 3.99, or about 4 inches. If more than 4 inches of water is applied to the soil, either by precipitation or by irrigation, some of it will be lost to runoff or leaching below the root zone. According to Table 1, loam and silt loam soils are the best for agriculture because they have the highest PAW capacity compared to the other types of soil texture. In fact, loam and silt loam soils drain excess water quickly and are not prone to drought conditions (Easton and Bock, 2016). Table 1. FC, PWP, and PAW based on soil texture (adapted from Easton and Bock, 2016).", "reading_order": 7 }, { "id": "p1.9", "order": 9, "type": "heading", "bbox": { "l": 312.72, "t": 221.76, "r": 385.92, "b": 205.68 }, "text": "Top 10 SMS", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 8 }, { "id": "p1.10", "order": 10, "type": "text", "bbox": { "l": 311.28, "t": 192.96, "r": 577.2, "b": 45.36 }, "text": "The top 10 SMS that are highly used for irrigation purposes are tensiometers, granular matrix sensors (GMS), heat dissipating sensors (HDS), capacitance, time domain reflectometers (TDR), frequency domain reflector (FDR), amplitude domain reflector (ADR), time domain transmission (TDT), neutron probe, and wireless sensors. Tables 2 and 3 show a short description, photos, pros, cons, and an estimated price of each SMS. It should be taken into account that “the best” SMS is not the same for all farmers based on their different point of views and limitations. For example, a farmer with a budget limitation has to opt for", "reading_order": 9 } ] }, { "document_id": 13135, "page": 2, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 43, "counts_by_type": { "caption": 2, "table": 2, "table_cell": 38, "text": 1 }, "build_ms": 6, "items": [ { "id": "p2.1", "order": 1, "type": "text", "bbox": { "l": 34.32, "t": 758.64, "r": 575.04, "b": 716.88 }, "text": "a sensor that is economical and cost efficient even if it is not as accurate as the other SMS. Another example is a farmer whose priority is to deal with saline and/or heavy soils, leading to paying more to have reliable and functional SMS.", "reading_order": 0 }, { "id": "p2.2", "order": 2, "type": "caption", "bbox": { "l": 33.12, "t": 708.96, "r": 422.64, "b": 695.28 }, "text": "Table 1. FC, PWP, and PAW based on soil texture (adapted from Easton and Bock, 2016)", "attrs": { "block_label": "figure_title" }, "reading_order": 1 }, { "id": "p2.3", "order": 3, "type": "table", "bbox": { "l": 35.28, "t": 683.76, "r": 576.24, "b": 411.6 }, "text": "", "attrs": { "block_label": "table", "n_rows": 8, "n_cols": 4, "integrity": { "cells_checked": 32, "cells_flagged": 2, "flags": [ { "row": 0, "col": 1, "coverage": 0.17, "text": "FC (inch of water/inch of soil)" }, { "row": 0, "col": 2, "coverage": 0.17, "text": "PWP (inch of water/inch of soil)" } ] } }, "children": [ { "id": "p2.3.1", "order": 4, "type": "table_cell", "bbox": { "l": 51.757008, "t": 667.961591, "r": 83.430226, "b": 639.179048 }, "text": "Soil texture", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p2.3.2", "order": 5, "type": "table_cell", "bbox": { "l": 170.52, "t": 683.76, "r": 305.76, "b": 649.74 }, "text": "FC (inch of water/inch of soil)", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p2.3.3", "order": 6, "type": "table_cell", "bbox": { "l": 305.76, "t": 683.76, "r": 441, "b": 649.74 }, "text": "PWP (inch of water/inch of soil)", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p2.3.4", "order": 7, "type": "table_cell", "bbox": { "l": 437.865398, "t": 677.277244, "r": 558.031669, "b": 634.944661 }, "text": "PAW capacity (inch of water/inch of soil)", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p2.3.5", "order": 8, "type": "table_cell", "bbox": { "l": 57.312524, "t": 621.6430379999999, "r": 79.613632, "b": 606.410535 }, "text": "Sand", "attrs": { "row": 1, "col": 0, "rowspan": 1, 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498.168298, "r": 90.047163, "b": 482.935795 }, "text": "Clay loam", "attrs": { "row": 5, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 20 }, { "id": "p2.3.22", "order": 25, "type": "table_cell", "bbox": { "l": 172.363656, "t": 498.157007, "r": 191.198211, "b": 482.924503 }, "text": "0.24", "attrs": { "row": 5, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 21 }, { "id": "p2.3.23", "order": 26, "type": "table_cell", "bbox": { "l": 330.447456, "t": 498.157007, "r": 349.282011, "b": 482.924503 }, "text": "0.39", "attrs": { "row": 5, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 22 }, { "id": "p2.3.24", "order": 27, "type": "table_cell", "bbox": { "l": 488.531256, "t": 498.157007, "r": 507.365811, "b": 482.924503 }, "text": "0.15", "attrs": { "row": 5, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 23 }, { "id": "p2.3.25", "order": 28, "type": "table_cell", "bbox": { "l": 47.25162, "t": 466.709622, "r": 87.100029, "b": 451.477119 }, "text": "Silty clay", "attrs": { "row": 6, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 24 }, { "id": "p2.3.26", "order": 29, "type": "table_cell", "bbox": { "l": 172.363656, "t": 466.698331, "r": 191.198211, "b": 451.465827 }, "text": "0.26", "attrs": { "row": 6, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 25 }, { "id": "p2.3.27", "order": 30, "type": "table_cell", "bbox": { "l": 330.447456, "t": 466.698331, "r": 349.282011, "b": 451.465827 }, "text": "0.39", "attrs": { "row": 6, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 26 }, { "id": "p2.3.28", "order": 31, "type": "table_cell", "bbox": { "l": 488.531256, "t": 466.698331, "r": 507.365811, "b": 451.465827 }, "text": "0.13", "attrs": { "row": 6, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 27 }, { "id": "p2.3.29", "order": 32, "type": "table_cell", "bbox": { "l": 58.261027, "t": 435.250946, "r": 78.653837, "b": 420.018443 }, "text": "Clay", "attrs": { "row": 7, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 28 }, { "id": "p2.3.30", "order": 33, "type": "table_cell", "bbox": { "l": 172.363656, "t": 435.239654, "r": 191.198211, "b": 420.007151 }, "text": "0.27", "attrs": { "row": 7, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 29 }, { "id": "p2.3.31", "order": 34, "type": "table_cell", "bbox": { "l": 330.447456, "t": 435.239654, "r": 349.282011, "b": 420.007151 }, "text": "0.39", "attrs": { "row": 7, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 30 }, { "id": "p2.3.32", "order": 35, "type": "table_cell", "bbox": { "l": 487.244002, "t": 435.250946, "r": 506.078557, "b": 420.018443 }, "text": "0.12", "attrs": { "row": 7, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 31 } ], "reading_order": 2 }, { "id": "p2.4", "order": 36, "type": "caption", "bbox": { "l": 34.56, "t": 385.68, "r": 568.56, "b": 358.08 }, "text": "Table 2. A short description and photos of highly used SMS for irrigation (adapted from Kelleners et al., 2004; Ling, 2004; Sample et al., 2016; Labodia Prima, 2019; SwitchDoc, 2019; Edaphic, 2021; Robinson, 2021; Trellise, 2021)", "attrs": { "block_label": "figure_title" }, "reading_order": 3 }, { "id": "p2.5", "order": 37, "type": "table", "bbox": { "l": 35.04, "t": 342, "r": 576.96, "b": 68.64 }, "text": "", "attrs": { "block_label": "table", "n_rows": 2, "n_cols": 3, "integrity": { "cells_checked": 5, "cells_flagged": 1, "flags": [ { "row": 1, "col": 1, "coverage": 0.52, "text": "Soil particles hold water through either tension or adhesio…" } ] } }, "children": [ { "id": "p2.5.1", "order": 38, "type": "table_cell", "bbox": { "l": 116.6182, "t": 338.5821, "r": 136.7152, "b": 323.7431 }, "text": "SMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p2.5.2", "order": 39, "type": "table_cell", "bbox": { "l": 268.8912, "t": 338.5821, "r": 345.1102, "b": 323.7431 }, "text": "Short description", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p2.5.3", "order": 40, "type": "table_cell", "bbox": { "l": 474.1512, "t": 338.5821, "r": 500.5072, "b": 323.7431 }, "text": "Photo", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p2.5.4", "order": 41, "type": "table_cell", "bbox": { "l": 220.8322, "t": 177.3881, "r": 272.8732, "b": 162.54909999999995 }, "text": "Tensiometer", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 3 }, { "id": "p2.5.5", "order": 42, "type": "table_cell", "bbox": { "l": 215.68, "t": 205.32, "r": 396.32, "b": 68.64 }, "text": "Soil particles hold water through either tension or adhesion. Tensiometers are SMS that measure the tension between soil particles and water molecules. In order for plants to access this water, they must overcome the tension to draw water molecules away from the soil particles and into their roots. The soil matric potential or soil moisture tension reading tells how hard the plant must work to extract water. A tensiometer is a vertical, water-filled tube with a porous tip that is inserted into the soil at recommended depths; the soil draws water out of the porous tip of the sealed tube, creating a vacuum. Drier soils create a stronger vacuum since water molecules are harder to pull off soil particles.", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1 }, "reading_order": 4 }, { "id": "p2.5.6", "order": 43, "type": "table_cell", "bbox": { "l": 396.32, "t": 205.32, "r": 576.96, "b": 68.64 }, "text": "", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 5 } ], "reading_order": 4 } ] }, { "document_id": 13135, "page": 3, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 16, "counts_by_type": { "table": 1, "table_cell": 15 }, "build_ms": 4, "items": [ { "id": "p3.1", "order": 1, "type": "table", "bbox": { "l": 34.56, "t": 759.36, "r": 576.48, "b": 56.64 }, "text": "", "attrs": { "block_label": "table", "n_rows": 5, "n_cols": 3, "integrity": { "cells_checked": 12, "cells_flagged": 1, "flags": [ { "row": 1, "col": 2, "coverage": 0, "text": "[F3]" } ] } }, "children": [ { "id": "p3.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 115.2212, "t": 754.3821, "r": 138.1012, "b": 723.5491 }, "text": "SMS\nGMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 0 }, { "id": "p3.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 223.2632, "t": 754.3821, "r": 390.7822, "b": 578.3491 }, "text": "Short description\nGMS consist of electrodes contained in a granular matrix that is enclosed within a gypsum solution, a membrane, and a metal case. Gypsum buffers salinity effects. A small charge is placed on the electrodes, and electrical resistance through GMS is measured. As water is used by plants or as the soil moisture decreases, water is drawn from GMS and resistance increases. Conversely, as soil moisture increases, resistance decreases.", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p3.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 474.1512, "t": 754.3821, "r": 500.5072, "b": 739.5431 }, "text": "Photo", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p3.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 115.8262, "t": 577.1940999999999, "r": 137.5512, "b": 562.3551 }, "text": "HDS", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 3 }, { "id": "p3.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 224.2752, "t": 577.1940999999999, "r": 389.7922, "b": 417.1551 }, "text": "In HDS, the air temperature in a porous block is measured before and after a small heat pulse is applied to it. The amount of heat flow from the pulse-heated point is mostly proportional to the amount of water contained within the porous material. That means a wet material will heat up slower than a dry one. This rise in air temperature (or the cooling) is measured with an accurate air temperature sensor located at the sensor tip.", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p3.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 395.84, "t": 525.12, "r": 576.48, "b": 408 }, "text": "[F3]", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 5 }, { "id": "p3.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 99.8982, "t": 402.8001, "r": 153.5012, "b": 387.9611 }, "text": "Capacitance", "attrs": { "row": 2, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p3.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 221.7782, "t": 402.8001, "r": 392.3002, "b": 295.5611 }, "text": "A capacitive does not measure moisture directly (pure water does not conduct electricity well); instead, it measures the ions that are dissolved in the moisture. These ions and their concentration can be affected by a number of factors; for example, adding fertilizer will decrease the resistance of the soil.", "attrs": { "row": 2, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 }, { "id": "p3.1.9", "order": 10, "type": "table_cell", "bbox": { "l": 395.84, "t": 408, "r": 576.48, "b": 290.88 }, "text": "", "attrs": { "row": 2, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 8 }, { "id": "p3.1.10", "order": 11, "type": "table_cell", "bbox": { "l": 115.9032, "t": 281.2061, "r": 137.5072, "b": 266.36710000000005 }, "text": "TDR", "attrs": { "row": 3, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 9 }, { "id": "p3.1.11", "order": 12, "type": "table_cell", "bbox": { "l": 222.0202, "t": 281.2061, "r": 392.0692, "b": 173.96709999999996 }, "text": "TDR consists of parallel rods, acting as transmission lines, where a voltage is launched along the rods and reflected back to TDR for analysis. The velocity of the voltage pulse along the rod is related to the dielectric permittivity of the soil. The velocity of the pulse for wet soils is slower than that of drier soils.", "attrs": { "row": 3, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 10 }, { "id": "p3.1.12", "order": 13, "type": "table_cell", "bbox": { "l": 395.84, "t": 290.88, "r": 576.48, "b": 173.76 }, "text": "", "attrs": { "row": 3, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 11 }, { "id": "p3.1.13", "order": 14, "type": "table_cell", "bbox": { "l": 116.3982, "t": 159.61210000000005, "r": 137.0342, "b": 144.7731 }, "text": "FDR", "attrs": { "row": 4, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 12 }, { "id": "p3.1.14", "order": 15, "type": "table_cell", "bbox": { "l": 215.2, "t": 173.76, "r": 395.84, "b": 56.64 }, "text": "FDR uses an oscillator to propagate an electromagnetic signal through either a metal line or other wave guide. The difference between the output wave and the return wave frequency is measured to determine soil moisture.", "attrs": { "row": 4, "col": 1, "rowspan": 1, "colspan": 1 }, "reading_order": 13 }, { "id": "p3.1.15", "order": 16, "type": "table_cell", "bbox": { "l": 395.84, "t": 173.76, "r": 576.48, "b": 56.64 }, "text": "", "attrs": { "row": 4, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 14 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 4, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 13, "counts_by_type": { "table": 1, "table_cell": 12 }, "build_ms": 3, "items": [ { "id": "p4.1", "order": 1, "type": "table", "bbox": { "l": 35.28, "t": 713.04, "r": 577.44, "b": 90.26710000000003 }, "text": "", "attrs": { "block_label": "table", "n_rows": 4, "n_cols": 3, "integrity": { "cells_checked": 9, "cells_flagged": 0 } }, "children": [ { "id": "p4.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 115.4522, "t": 710.2821, "r": 137.8702, "b": 679.4491 }, "text": "SMS\nADR", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 0 }, { "id": "p4.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 224.5282, "t": 710.2821, "r": 389.4842, "b": 573.8491 }, "text": "Short description\nADR uses an oscillator to generate an electromagnetic signal at a consistent frequency, which is transmitted through a central signal rod, using outer rods as an electrical shield. The electromagnetic signal is partially reflected by areas of the medium with different water content, producing a measurable voltage standing wave.", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p4.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 474.1512, "t": 710.2821, "r": 500.5072, "b": 695.4431 }, "text": "Photo", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p4.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 115.8702, "t": 572.6940999999999, "r": 137.4632, "b": 557.8551 }, "text": "TDT", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 3 }, { "id": "p4.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 222.5372, "t": 572.6940999999999, "r": 391.4642, "b": 399.4551 }, "text": "TDT measures the transmission of a pulse along a looped, or closed circuit, rod. TDT measures the time taken for an electromagnetic signal to travel along a given length of a transmission line in the soil. With TDT, a step pulse with a fast rise time is transmitted into a transmission line. The step pulse travels down the transmission line, and a voltage is detected at the other end of the transmission line. A pulse measured via TDT will be slower in wetter soils rather than drier soils.", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p4.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 396.72, "t": 464.208, "r": 577.44, "b": 339.792 }, "text": "", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 5 }, { "id": "p4.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 94.1012, "t": 398.3001, "r": 159.2102, "b": 383.4611 }, "text": "Neutron probe", "attrs": { "row": 2, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p4.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 222.6802, "t": 398.3001, "r": 391.3322, "b": 225.0611 }, "text": "Neutron probe consists of a neutron source, detector, and an electronic counting scale. Measurements at desired depths are made by lowering the probe into an access tube installed vertically in the soil. This radioactive probe emits high-energy neutrons in all directions into the soil. When these neutrons collide with hydrogen atoms in the soil, the velocity of the neutron is attenuated or slowed down. The rate of attenuation is dependent on the amount of water present.", "attrs": { "row": 2, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 }, { "id": "p4.1.9", "order": 10, "type": "table_cell", "bbox": { "l": 396.72, "t": 339.792, "r": 577.44, "b": 215.376 }, "text": "", "attrs": { "row": 2, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 8 }, { "id": "p4.1.10", "order": 11, "type": "table_cell", "bbox": { "l": 90.5922, "t": 223.90610000000004, "r": 162.7302, "b": 209.06709999999998 }, "text": "Wireless sensors", "attrs": { "row": 3, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 9 }, { "id": "p4.1.11", "order": 12, "type": "table_cell", "bbox": { "l": 222.4932, "t": 223.90610000000004, "r": 391.4972, "b": 90.26710000000003 }, "text": "Wireless sensors are buried under the soil at the start of the growing season with the logo facing towards the sky. The sensors are located in the silver bands surrounding the device. Throughout the growing season, it sends data back to a phone application over a low power cellular data that can operate at significant distances from cellphone towers.", "attrs": { "row": 3, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 10 }, { "id": "p4.1.12", "order": 13, "type": "table_cell", "bbox": { "l": 396.72, "t": 215.376, "r": 577.44, "b": 90.96 }, "text": "", "attrs": { "row": 3, "col": 2, "rowspan": 1, "colspan": 1 }, "reading_order": 11 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 5, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 10, "counts_by_type": { "header": 1, "table": 1, "table_cell": 8 }, "build_ms": 3, "items": [ { "id": "p5.1", "order": 1, "type": "header", "bbox": { "l": 32.16, "t": 758.4, "r": 571.44, "b": 713.28 }, "text": "Table 3. Pros, cons, and an estimated price of SMS highly used for irrigation (adapted from Ling, 2004; Munoz-Carpena, 2004; Maughan et al., 2015; Sample et al., 2016; Labodia Prima, 2019; Sharma, 2019; Singh et al., 2019; Risinger, 2021; Robinson, 2021)", "attrs": { "block_label": "figure_title" }, "level": 2, "reading_order": 0 }, { "id": "p5.2", "order": 2, "type": "table", "bbox": { "l": 35.04, "t": 659.52, "r": 577.2, "b": 83.5231 }, "text": "", "attrs": { "block_label": "table", "n_rows": 2, "n_cols": 4, "integrity": { "cells_checked": 8, "cells_flagged": 0 } }, "children": [ { "id": "p5.2.1", "order": 3, "type": "table_cell", "bbox": { "l": 94.1715, "t": 656.2821, "r": 114.2685, "b": 641.4431 }, "text": "SMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p5.2.2", "order": 4, "type": "table_cell", "bbox": { "l": 229.3835, "t": 656.2821, "r": 249.0625, "b": 641.4431 }, "text": "Pros", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p5.2.3", "order": 5, "type": "table_cell", "bbox": { "l": 362.7585, "t": 656.2821, "r": 385.6825, "b": 641.4431 }, "text": "Cons", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p5.2.4", "order": 6, "type": "table_cell", "bbox": { "l": 497.9595, "t": 656.2821, "r": 520.4765, "b": 641.4431 }, "text": "Price", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p5.2.5", "order": 7, "type": "table_cell", "bbox": { "l": 330.2975, "t": 494.3621, "r": 382.3385, "b": 479.5231 }, "text": "Tensiometer", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p5.2.6", "order": 8, "type": "table_cell", "bbox": { "l": 179.0035, "t": 639.5621, "r": 299.4425, "b": 400.3231 }, "text": "Capable of high frequency sampling\\nSalinity buffering\\nLarge sensing area (8 - inch diameter)\\nDirect water potential reading for irrigation scheduling\\nContinuous measurements at same location\\nNot affected by salinity\\nComes in different lengths", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 5 }, { "id": "p5.2.7", "order": 9, "type": "table_cell", "bbox": { "l": 310.7395, "t": 639.5621, "r": 437.7235, "b": 83.5231 }, "text": "Maintenance to replace water in tube could be necessary\\nMight have to be reset frequently in coarse or swelling soils\\nLess intuitive due to negative relationship between volumetric water content and tensiometer reading\\nRequiring periodic service\\nNot useful in drier soil conditions\\nNot suitable for fine soil texture\\nSlow response time to soil water changes\\nDo not withstand cold soil temperatures\\nManual readings and data collection\\nShould be read daily when crop water use is high to detect false readings due to air bubbles entering the tube\\nSoil temperatures below freezing can also seriously damage the tensiometer. It must be removed from the ground and stored before soil temperatures drop to freezing", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p5.2.8", "order": 10, "type": "table_cell", "bbox": { "l": 451.2095, "t": 639.5621, "r": 567.2705, "b": 598.3231000000001 }, "text": "$75 - $125 per sensor\\n$140 - $155 for transducer", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 } ], "reading_order": 1 } ] }, { "document_id": 13135, "page": 6, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 9, "counts_by_type": { "table": 1, "table_cell": 8 }, "build_ms": 4, "items": [ { "id": "p6.1", "order": 1, "type": "table", "bbox": { "l": 34.32, "t": 752.64, "r": 576.72, "b": 52.56 }, "text": "", "attrs": { "block_label": "table", "n_rows": 2, "n_cols": 4, "integrity": { "cells_checked": 8, "cells_flagged": 0 } }, "children": [ { "id": "p6.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 92.5545, "t": 749.8821, "r": 115.4345, "b": 718.3231 }, "text": "SMS\nGMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 0 }, { "id": "p6.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 176.5835, "t": 749.8821, "r": 301.4005, "b": 335.5231 }, "text": "Pros\nCan measure a large area (8 - inch diameter)\\nCan be used in moderately saline soils\\nCan be used to sense wet or dry soil moisture readings for irrigation\\nIf soil does not dry out, little maintenance is required\\nGood accuracy in medium to fine soils\\nData can be logged and retrieved remotely\\nApplicable for large soil tension range\\nContinuous measurement at same location\\nCan be permanently installed (through winter) in soil\\nNo water refilling needed", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p6.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 310.4975, "t": 749.8821, "r": 437.4925, "b": 388.3231 }, "text": "Cons\nRelatively inaccurate\\nPerforms poorly in sandy soils due to slow reaction time (water moves fast in sandy soils)\\nPerforms poorly in soils that shrink/swell\\nSusceptible to drying; must be dug out and solution reset when this occurs\\nRelatively slow response time to soil water changes\\nSensitive to soil temperature and high salinity\\nCalibration in needed for each soil type\\nSlow reaction time\\nDoes not work well in sandy soils", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p6.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 451.4955, "t": 749.8821, "r": 566.4895, "b": 665.5231 }, "text": "Price\n$40 - $70 per sensor\\n$250 for handheld meter\\n$500 -$600 for data logger", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p6.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 93.1265, "t": 334.3681, "r": 114.8515, "b": 319.5291 }, "text": "HDS", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p6.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 179.8835, "t": 334.3681, "r": 298.1115, "b": 55.52909999999997 }, "text": "Sensor output is independent to electrical conductivity (EC) value.\\nMeasurements not affected by salts in the soil\\nSmall size\\nVery accurate\\nSoil/site calibration usually not required\\nRemote access of data available\\nMeasures a wide range of matric potential\\nLong lasting, with no maintenance required", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 5 }, { "id": "p6.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 311.7405, "t": 334.3681, "r": 436.2825, "b": 200.72910000000002 }, "text": "HDS have a larger power requirement compared to other sensor types for frequent observations\\nVery small area of influence\\nSlow reaction time\\nDoes not work well in sandy soils", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p6.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 453.0025, "t": 334.3681, "r": 565.0045, "b": 253.52909999999997 }, "text": "$280 - $380 per sensor\\n$300 - $440 for excitation module\\n$2,000 - $2,500 for data logger", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 7, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 13, "counts_by_type": { "table": 1, "table_cell": 12 }, "build_ms": 4, "items": [ { "id": "p7.1", "order": 1, "type": "table", "bbox": { "l": 34.56, "t": 727.44, "r": 577.44, "b": 69.36 }, "text": "", "attrs": { "block_label": "table", "n_rows": 3, "n_cols": 4, "integrity": { "cells_checked": 12, "cells_flagged": 0 } }, "children": [ { "id": "p7.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 93.9515, "t": 725.5821, "r": 114.0485, "b": 710.7431 }, "text": "SMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p7.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 229.1635, "t": 725.5821, "r": 248.8425, "b": 710.7431 }, "text": "Pros", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p7.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 362.5385, "t": 725.5821, "r": 385.4625, "b": 710.7431 }, "text": "Cons", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p7.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 497.7395, "t": 725.5821, "r": 520.2565, "b": 710.7431 }, "text": "Price", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p7.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 77.1985, "t": 708.8621, "r": 130.8015, "b": 694.0231 }, "text": "Capacitance", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p7.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 176.8145, "t": 708.8621, "r": 301.1805, "b": 403.6231 }, "text": "Not only avoids corrosion of the probe but also gives a better reading of the moisture content of the soil as opposed to using resistive SMS\\nSince the contacts (the plus plate and the minus plate of the capacitor) are not exposed to the soil, there is no corrosion of the sensor itself\\nResponse time is very fast\\nRemote access available\\nVery accurate after calibration\\nCan be used in moderate saline soils", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 5 }, { "id": "p7.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 312.3565, "t": 682.4621, "r": 434.0825, "b": 348.0291 }, "text": "Small sensing area\\nAffected by soil conditions - high salinity, clay content, and soil temperature\\nSite/soil specific calibration preferred", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p7.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 447.6125, "t": 708.8621, "r": 570.3945, "b": 667.6231 }, "text": "$10 - $350 per sensor\\n$500 -$2,500 for data logger", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 }, { "id": "p7.1.9", "order": 10, "type": "table_cell", "bbox": { "l": 93.2035, "t": 402.4681, "r": 114.8075, "b": 387.6291 }, "text": "TDR", "attrs": { "row": 2, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 8 }, { "id": "p7.1.10", "order": 11, "type": "table_cell", "bbox": { "l": 176.4625, "t": 402.4681, "r": 301.5655, "b": 84.02909999999997 }, "text": "Can be used without calibration to specific soils; however, it reduces accuracy\\nNot easily influenced by moderate saline soil conditions until the signal disappears\\nCan remain in soil through winter. Continuous measurements can be collected with data logger\\nAccurate with soil-specific calibration (2 - 3% error)\\nEasily expanded by multiplexing\\nWide variety of probe configurations\\nMinimal soil disturbance", "attrs": { "row": 2, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 9 }, { "id": "p7.1.11", "order": 12, "type": "table_cell", "bbox": { "l": 311.6525, "t": 708.8621, "r": 436.3815, "b": 70.82910000000004 }, "text": "Need for good contact between sensor and soil\\nSmall sensing area (2.4-inch diameter)\\nMight have limited applicability in highly saline or heavy clay soils\\nCalibration is needed for soils with tightly held water\\nTakes time to install because you must dig a trench rather than a hole\\nUses a lot of power (large rechargeable batteries)\\nSoil-specific calibration required for soils having large amounts of bound water (i.e., those with high organic matter content)", "attrs": { "row": 2, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 10 }, { "id": "p7.1.12", "order": 13, "type": "table_cell", "bbox": { "l": 457.4245, "t": 402.4681, "r": 560.5715, "b": 361.2291 }, "text": "$250 - $350 per sensor\\n$1,000 - $3,500 for data logger", "attrs": { "row": 2, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 11 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 8, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 17, "counts_by_type": { "table": 1, "table_cell": 16 }, "build_ms": 4, "items": [ { "id": "p8.1", "order": 1, "type": "table", "bbox": { "l": 35.04, "t": 657.36, "r": 576.48, "b": 142.08 }, "text": "", "attrs": { "block_label": "table", "n_rows": 4, "n_cols": 4, "integrity": { "cells_checked": 16, "cells_flagged": 0 } }, "children": [ { "id": "p8.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 93.9515, "t": 654.4821, "r": 114.0485, "b": 639.6431 }, "text": "SMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p8.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 229.1635, "t": 654.4821, "r": 248.8425, "b": 639.6431 }, "text": "Pros", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p8.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 362.5385, "t": 654.4821, "r": 385.4625, "b": 639.6431 }, "text": "Cons", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p8.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 497.7395, "t": 654.4821, "r": 520.2565, "b": 639.6431 }, "text": "Price", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p8.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 93.6765, "t": 637.7621, "r": 114.3125, "b": 622.9231 }, "text": "FDR", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p8.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 181.0605, "t": 598.1621, "r": 296.9565, "b": 435.3291 }, "text": "Accurate with soil-specific calibration (1% error)\\nCan be used in saline soils\\nHigh resolution signal\\nCan be connected to conventional loggers\\nFlexibility in probe design", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 5 }, { "id": "p8.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 311.8615, "t": 637.9051, "r": 436.1285, "b": 464.5231 }, "text": "Calibration is necessary\\nSensitive to soil temperature\\nSmall sensing area (3.2-inch diameter)\\nNeed for good contact between FDR and soil\\nSensitive to air gaps\\nSensitive to clay soils", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p8.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 446.3585, "t": 637.7621, "r": 571.6375, "b": 570.1231 }, "text": "60 - 300 per sensor\\n500 - 3,500 for data logger\\n2,000 - 3,000 for access tube installation kit", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 }, { "id": "p8.1.9", "order": 10, "type": "table_cell", "bbox": { "l": 92.7965, "t": 463.3681, "r": 115.2145, "b": 448.5291 }, "text": "ADR", "attrs": { "row": 2, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 8 }, { "id": "p8.1.10", "order": 11, "type": "table_cell", "bbox": { "l": 181.0495, "t": 637.7621, "r": 296.9455, "b": 303.3291 }, "text": "Accurate with soil-specific calibration (1% error)\\nand without soil-specific calibration (5% error)\\nCan be used in high saline soils\\nMinimal soil disturbance\\nSoil temperature does not interfere with signal", "attrs": { "row": 2, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 9 }, { "id": "p8.1.11", "order": 12, "type": "table_cell", "bbox": { "l": 313.2805, "t": 463.5111, "r": 434.7315, "b": 329.7291 }, "text": "Calibration to a specific soil is recommended\\nVolume of measurement is relatively small ( ≈ 0.3 in ³)\\nSensitive to air gaps, stones, or water traveling through channels separate from soil matrix", "attrs": { "row": 2, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 10 }, { "id": "p8.1.12", "order": 13, "type": "table_cell", "bbox": { "l": 457.4355, "t": 463.3681, "r": 560.5825, "b": 260.93510000000003 }, "text": "200 - 350 per sensor\\n1,000 - 3,500 for data logger", "attrs": { "row": 2, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 11 }, { "id": "p8.1.13", "order": 14, "type": "table_cell", "bbox": { "l": 93.2035, "t": 302.1741, "r": 114.7965, "b": 287.3351 }, "text": "TDT", "attrs": { "row": 3, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 12 }, { "id": "p8.1.14", "order": 15, "type": "table_cell", "bbox": { "l": 179.8505, "t": 302.1741, "r": 298.1555, "b": 221.3351 }, "text": "Accurate (2% error)\\nLarge sensing volume ( ≈ 30 in ³)\\nLow power consumption", "attrs": { "row": 3, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 13 }, { "id": "p8.1.15", "order": 16, "type": "table_cell", "bbox": { "l": 312.6425, "t": 302.1741, "r": 435.3695, "b": 142.13509999999997 }, "text": "Sensitive to soil compaction\\nSoil disturbance during installation\\nReduced precision because the generated pulse is distorted during transmission\\nNeeds to be permanently installed in the field", "attrs": { "row": 3, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 14 }, { "id": "p8.1.16", "order": 17, "type": "table_cell", "bbox": { "l": 457.4245, "t": 436.9681, "r": 560.5715, "b": 287.3351 }, "text": "220 - 300 per sensor\\n1,000 - 3,500 for data logger", "attrs": { "row": 3, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 15 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 9, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 5, "counts_by_type": { "table": 1, "table_cell": 4 }, "build_ms": 3, "items": [ { "id": "p9.1", "order": 1, "type": "table", "bbox": { "l": 34.8, "t": 699.36, "r": 577.44, "b": 96.72 }, "text": "", "attrs": { "block_label": "table", "n_rows": 1, "n_cols": 4, "integrity": { "cells_checked": 4, "cells_flagged": 0 } }, "children": [ { "id": "p9.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 71.4455, "t": 697.6821, "r": 136.5545, "b": 666.1231 }, "text": "SMS\nNeutron probe", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 0 }, { "id": "p9.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 179.3445, "t": 697.6821, "r": 298.6725, "b": 534.1231 }, "text": "Pros\nSamples a relatively large area\\nOne sensor for all sites and depths\\nUnaffected by salinity and air gaps around access tube\\nRobust and the most accurate SMS (0.5% error)", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p9.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 310.5195, "t": 697.6821, "r": 437.5035, "b": 98.5231 }, "text": "Cons\nSoil/site specific calibration usually required\\nContains radioactive material (safety hazard).\\nLicensing and certified personnel is required. Even at 16-inch depth, radiation losses through soil surface have been detected\\nManual reading and recording ( ≈3 minutes per access tube)\\nNot good at shallow depths (less than 6 inches).\\nReadings close to the soil surface are difficult and not accurate\\nHeavy, cumbersome instrument\\nThe sphere of influence may vary according to the following reasons: a) It increases as the soil dries because the hydrogen concentration reduces, so that the probability of collision is smaller and thereby fast neutrons can travel further from the source. b) It is smaller in fine texture soils because they can hold more water, thus the probability of collision is higher. c) If there are layers with large differences in water content due to changes in soil physical properties, the sphere of influence can have a distorted shape", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p9.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 446.3585, "t": 697.6821, "r": 571.6705, "b": 652.9231 }, "text": "Price\n10,000 - 15,000 per sensor\\n25 - 30 for access tubes", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 } ], "reading_order": 0 } ] }, { "document_id": 13135, "page": 10, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 15, "counts_by_type": { "figure": 1, "heading": 1, "table": 1, "table_cell": 8, "text": 4 }, "build_ms": 4, "items": [ { "id": "p10.1", "order": 1, "type": "table", "bbox": { "l": 34.8, "t": 756.48, "r": 577.44, "b": 537.84 }, "text": "", "attrs": { "block_label": "table", "n_rows": 2, "n_cols": 4, "integrity": { "cells_checked": 8, "cells_flagged": 0 } }, "children": [ { "id": "p10.1.1", "order": 2, "type": "table_cell", "bbox": { "l": 93.9515, "t": 754.3821, "r": 114.0485, "b": 739.5431 }, "text": "SMS", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p10.1.2", "order": 3, "type": "table_cell", "bbox": { "l": 229.1635, "t": 754.3821, "r": 248.8425, "b": 739.5431 }, "text": "Pros", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p10.1.3", "order": 4, "type": "table_cell", "bbox": { "l": 362.5385, "t": 754.3821, "r": 385.4625, "b": 739.5431 }, "text": "Cons", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p10.1.4", "order": 5, "type": "table_cell", "bbox": { "l": 497.7395, "t": 754.3821, "r": 520.2565, "b": 739.5431 }, "text": "Price", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p10.1.5", "order": 6, "type": "table_cell", "bbox": { "l": 175.4945, "t": 671.6621, "r": 247.5445, "b": 656.8231000000001 }, "text": "Wireless sensors", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 4 }, { "id": "p10.1.6", "order": 7, "type": "table_cell", "bbox": { "l": 67.9255, "t": 737.6621, "r": 301.2355, "b": 538.0231 }, "text": "Environmental and business benefits across the crop life cycle: growth, harvest, transportation and storage\\nWireless sensors deliver real-time, actionable information to help agriculture professionals increase yields and crop quality whilst reducing inputs\\nReduce trips to the field\\nNo need to data logger", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 5 }, { "id": "p10.1.7", "order": 8, "type": "table_cell", "bbox": { "l": 312.7745, "t": 737.6621, "r": 435.2045, "b": 683.2231 }, "text": "Some farmers either do not have access to smartphones or do not want to use them for soil moisture monitoring", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p10.1.8", "order": 9, "type": "table_cell", "bbox": { "l": 449.2845, "t": 737.6621, "r": 568.7115, "b": 696.4231 }, "text": "$400 - $450 per sensor\\n$80 - $100 for data services", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 } ], "reading_order": 0 }, { "id": "p10.2", "order": 10, "type": "heading", "bbox": { "l": 33.84, "t": 523.92, "r": 135.6, "b": 509.04 }, "text": "SMS installation", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 1 }, { "id": "p10.3", "order": 11, "type": "text", "bbox": { "l": 33.12, "t": 495.36, "r": 297.36, "b": 388.32 }, "text": "We should install stationary SMS either horizontally (by digging a hole) or vertically (by using an auger) between crops within a crop row at their certain depths. It is recommended to install SMS at different depths and locations in the farm. The best layout is to place SMS in pairs at 1/3 and 2/3 the root depth and at least at two extra locations in the field (Sharma, 2019). Table 4 represents the maximum root depth for different plants.", "reading_order": 2 }, { "id": "p10.4", "order": 12, "type": "text", "bbox": { "l": 32.88, "t": 376.08, "r": 300.48, "b": 230.16 }, "text": "It is also recommended to flag the SMS in order to help operators/labors see where they are. It can help them to prevent damage to SMS. Some farms contain more than one soil texture. In those farms, it is recommended that each soil texture be equipped with SMS and managed separately for irrigation. The best way to accurately identify soil properties is to have several soil samples and test them in soil laboratories. Nevertheless, some farmers are not interested in spending money for soil sampling. Another option is using Web Soil Survey produced by USDA (https://websoilsurvey.sc.egov.usda.gov/).", "reading_order": 3 }, { "id": "p10.5", "order": 13, "type": "text", "bbox": { "l": 33.12, "t": 217.68, "r": 295.68, "b": 45.12 }, "text": "Figure 1 illustrates an example of using Web Soil Survey to identify soil properties for a field located in Hardin and Larue Counties in Kentucky. The first step is to define the area of interest (AOI) using a polygon icon (Figure 1a). After separating the field, the next step is using Soil Map to identify soil texture (Figure 1b). As can be seen, soil texture for 41.3% of the area is loam and the rest is three different types of silt loam (i.e., Gatton, Newark, and Sonora). As we discussed in this fact sheet, loam and silt loam are the best soils for agriculture with respect to their highest PAW compared to the other types of soil texture. Finally, in Figure 1c we can check soil salinity by using Soil Chemical Properties, which show no salinity for the selected field. In Figure 1, since neither soil salinity nor heavy soil texture is a limitation, all SMS (Table 2) will work accurately in the selected field. If our soil was saline and/or we had a heavy soil texture (i.e., clay loam, silty clay, and clay based on Table 1), we would not use those SMS that are sensitive to salinity and/or heavy soil texture (Table 3). For more information about how to use Soil Web Survey, this link will be helpful, particularly for beginners who have less experience working with datasets: https://websoilsurvey.nrcs.usda.gov/app/Help/WSS_HomePage_HowTo_3_0.pdf", "reading_order": 4 }, { "id": "p10.6", "order": 14, "type": "text", "bbox": { "l": 308.88, "t": 510.24, "r": 574.8, "b": 349.92 }, "text": "In Figure 1, since neither soil salinity nor heavy soil texture is a limitation, all SMS (Table 2) will work accurately in the selected field. If our soil was saline and/or we had a heavy soil texture (i.e., clay loam, silty clay, and clay based on Table 1), we would not use those SMS that are sensitive to salinity and/or heavy soil texture (Table 3). For more information about how to use Soil Web Survey, this link will be helpful, particularly for beginners who have less experience working with datasets: https://websoilsurvey.nrcs.usda.gov/app/Help/WSS_HomePage_HowTo_3_0.pdf", "reading_order": 5 }, { "id": "p10.7", "order": 15, "type": "figure", "bbox": { "l": 312, "t": 341.04, "r": 574.8, "b": 37.92 }, "text": "", "attrs": { "block_label": "image" }, "reading_order": 6 } ] }, { "document_id": 13135, "page": 11, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 106, "counts_by_type": { "header": 1, "table": 1, "table_cell": 104 }, "build_ms": 16, "items": [ { "id": "p11.1", "order": 1, "type": "header", "bbox": { "l": 33.36, "t": 758.64, "r": 412.56, "b": 743.28 }, "text": "Table 4. Maximum rooting depth for different plants (adapted from Allen et al., 1998)", "attrs": { "block_label": "vision_footnote" }, "level": 2, "reading_order": 0 }, { "id": "p11.2", "order": 2, "type": "table", "bbox": { "l": 35.04, "t": 727.2, "r": 578.64, "b": 72 }, "text": "", "attrs": { "block_label": "table", "n_rows": 19, "n_cols": 6, "integrity": { "cells_checked": 104, "cells_flagged": 0 } }, "children": [ { "id": "p11.2.1", "order": 3, "type": "table_cell", "bbox": { "l": 70.0777, "t": 724.1392, "r": 342.3596, "b": 693.3091 }, "text": "Plant\nSmall vegetables", "attrs": { "row": 0, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true, "column_header": true, "header_source": "pdf" }, "reading_order": 0 }, { "id": "p11.2.2", "order": 4, "type": "table_cell", "bbox": { "l": 137.2987, "t": 724.1421, "r": 205.7066, "b": 709.3002 }, "text": "Root depth (in)", "attrs": { "row": 0, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 1 }, { "id": "p11.2.3", "order": 5, "type": "table_cell", "bbox": { "l": 250.0806, "t": 724.1421, "r": 272.9276, "b": 709.3031 }, "text": "Plant", "attrs": { "row": 0, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 2 }, { "id": "p11.2.4", "order": 6, "type": "table_cell", "bbox": { "l": 317.3016, "t": 724.1421, "r": 385.7106, "b": 709.3031 }, "text": "Root depth (in)", "attrs": { "row": 0, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 3 }, { "id": "p11.2.5", "order": 7, "type": "table_cell", "bbox": { "l": 430.0846, "t": 724.1421, "r": 452.9316, "b": 709.3031 }, "text": "Plant", "attrs": { "row": 0, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 4 }, { "id": "p11.2.6", "order": 8, "type": "table_cell", "bbox": { "l": 497.3056, "t": 724.1421, "r": 565.7146, "b": 709.3031 }, "text": "Root depth (in)", "attrs": { "row": 0, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true, "column_header": true, "header_source": "pdf" }, "reading_order": 5 }, { "id": "p11.2.7", "order": 9, "type": "table_cell", "bbox": { "l": 47.6916, "t": 692.1541, "r": 115.3086, "b": 664.1151 }, "text": "Broccoli and Brussel Sprouts", "attrs": { "row": 1, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 6 }, { "id": "p11.2.8", "order": 10, "type": "table_cell", "bbox": { "l": 156.4816, "t": 692.1541, "r": 186.5116, "b": 677.3151 }, "text": "16 - 24", "attrs": { "row": 1, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 7 }, { "id": "p11.2.9", "order": 11, "type": "table_cell", "bbox": { "l": 242.5786, "t": 692.1541, "r": 280.4186, "b": 677.3151 }, "text": "Cabbage", "attrs": { "row": 1, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 8 }, { "id": "p11.2.10", "order": 12, "type": "table_cell", "bbox": { "l": 336.4856, "t": 692.1541, "r": 366.5156, "b": 677.3151 }, "text": "20 - 30", "attrs": { "row": 1, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 9 }, { "id": "p11.2.11", "order": 13, "type": "table_cell", "bbox": { "l": 424.9476, "t": 692.1541, "r": 458.0576, "b": 677.3151 }, "text": "Carrots", "attrs": { "row": 1, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 10 }, { "id": "p11.2.12", "order": 14, "type": "table_cell", "bbox": { "l": 516.4896, "t": 692.1541, "r": 546.5196, "b": 677.3151 }, "text": "20 - 40", "attrs": { "row": 1, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 11 }, { "id": "p11.2.13", "order": 15, "type": "table_cell", "bbox": { "l": 55.9196, "t": 662.9601, "r": 107.0806, "b": 648.1211000000001 }, "text": "Cauliflower", "attrs": { "row": 2, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 12 }, { "id": "p11.2.14", "order": 16, "type": "table_cell", "bbox": { "l": 156.4816, "t": 662.9601, "r": 186.5116, "b": 648.1211000000001 }, "text": "16 - 28", "attrs": { "row": 2, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 13 }, { "id": "p11.2.15", "order": 17, "type": "table_cell", "bbox": { "l": 220.7216, "t": 662.9601, "r": 302.2646, "b": 621.7211 }, "text": "Celery, Garlic, Spinach, Radishes, and Lettuce", "attrs": { "row": 2, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 14 }, { "id": "p11.2.16", "order": 18, "type": "table_cell", "bbox": { "l": 336.4746, "t": 662.9601, "r": 366.5046, "b": 648.1211000000001 }, "text": "12 - 20", "attrs": { "row": 2, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 15 }, { "id": "p11.2.17", "order": 19, "type": "table_cell", "bbox": { "l": 425.1786, "t": 662.9601, "r": 457.8046, "b": 648.1211000000001 }, "text": "Onions", "attrs": { "row": 2, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 16 }, { "id": "p11.2.18", "order": 20, "type": "table_cell", "bbox": { "l": 516.4786, "t": 662.9601, "r": 546.5086, "b": 648.1211000000001 }, "text": "12 - 24", "attrs": { "row": 2, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 17 }, { "id": "p11.2.19", "order": 21, "type": "table_cell", "bbox": { "l": 275.7106, "t": 620.5661, "r": 337.2666, "b": 605.7271000000001 }, "text": "Big vegetables", "attrs": { "row": 3, "col": 0, "rowspan": 1, "colspan": 6, "bbox_refit": true }, "reading_order": 18 }, { "id": "p11.2.20", "order": 22, "type": "table_cell", "bbox": { "l": 51.0466, "t": 604.5721, "r": 111.9206, "b": 576.5331 }, "text": "Egg Plant and Cucumber", "attrs": { "row": 4, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 19 }, { "id": "p11.2.21", "order": 23, "type": "table_cell", "bbox": { "l": 156.4706, "t": 604.5721, "r": 186.5006, "b": 589.7331 }, "text": "28 - 47", "attrs": { "row": 4, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 20 }, { "id": "p11.2.22", "order": 24, "type": "table_cell", "bbox": { "l": 230.2366, "t": 604.5721, "r": 292.7276, "b": 589.7331 }, "text": "Sweet Peppers", "attrs": { "row": 4, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 21 }, { "id": "p11.2.23", "order": 25, "type": "table_cell", "bbox": { "l": 336.4636, "t": 604.5721, "r": 366.4936, "b": 589.7331 }, "text": "20 - 40", "attrs": { "row": 4, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 22 }, { "id": "p11.2.24", "order": 26, "type": "table_cell", "bbox": { "l": 424.6396, "t": 604.5721, "r": 458.3216, "b": 589.7331 }, "text": "Tomato", "attrs": { "row": 4, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 23 }, { "id": "p11.2.25", "order": 27, "type": "table_cell", "bbox": { "l": 516.4676, "t": 604.5721, "r": 546.4976, "b": 589.7331 }, "text": "28 - 60", "attrs": { "row": 4, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 24 }, { "id": "p11.2.26", "order": 28, "type": "table_cell", "bbox": { "l": 41.9166, "t": 575.3781, "r": 121.0396, "b": 547.3391 }, "text": "Sweet Melons and Watermelon", "attrs": { "row": 5, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 25 }, { "id": "p11.2.27", "order": 29, "type": "table_cell", "bbox": { "l": 156.4596, "t": 575.3781, "r": 186.4896, "b": 560.5391 }, "text": "35 - 60", "attrs": { "row": 5, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 26 }, { "id": "p11.2.28", "order": 30, "type": "table_cell", "bbox": { "l": 228.9936, "t": 575.3781, "r": 293.9706, "b": 534.1391 }, "text": "Cantaloupe, Pumpkin and Winter Squash", "attrs": { "row": 5, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 27 }, { "id": "p11.2.29", "order": 31, "type": "table_cell", "bbox": { "l": 336.4636, "t": 575.3781, "r": 366.4936, "b": 560.5391 }, "text": "39 - 60", "attrs": { "row": 5, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 28 }, { "id": "p11.2.30", "order": 32, "type": "table_cell", "bbox": { "l": 416.2686, "t": 575.3781, "r": 466.6926, "b": 547.3391 }, "text": "Squash and Zucchini", "attrs": { "row": 5, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 29 }, { "id": "p11.2.31", "order": 33, "type": "table_cell", "bbox": { "l": 516.4346, "t": 407.8261, "r": 546.4646, "b": 392.9871 }, "text": "24 - 40", "attrs": { "row": 5, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 30 }, { "id": "p11.2.32", "order": 34, "type": "table_cell", "bbox": { "l": 262.0376, "t": 532.9841, "r": 350.9286, "b": 518.1451 }, "text": "Perennial vegetables", "attrs": { "row": 6, "col": 0, "rowspan": 1, "colspan": 6, "bbox_refit": true }, "reading_order": 31 }, { "id": "p11.2.33", "order": 35, "type": "table_cell", "bbox": { "l": 47.9116, "t": 516.9901, "r": 323.3296, "b": 472.9571 }, "text": "Artichokes and Asparagus\nForages", "attrs": { "row": 7, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 32 }, { "id": "p11.2.34", "order": 36, "type": "table_cell", "bbox": { "l": 156.4706, "t": 516.9901, "r": 186.5006, "b": 502.1511 }, "text": "24 - 70", "attrs": { "row": 7, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 33 }, { "id": "p11.2.35", "order": 37, "type": "table_cell", "bbox": { "l": 250.5646, "t": 516.9901, "r": 272.3996, "b": 502.1511 }, "text": "Mint", "attrs": { "row": 7, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 34 }, { "id": "p11.2.36", "order": 38, "type": "table_cell", "bbox": { "l": 336.4636, "t": 516.9901, "r": 366.4936, "b": 502.1511 }, "text": "16 - 30", "attrs": { "row": 7, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 35 }, { "id": "p11.2.37", "order": 39, "type": "table_cell", "bbox": { "l": 413.8926, "t": 516.9901, "r": 469.0576, "b": 502.1511 }, "text": "Strawberries", "attrs": { "row": 7, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 36 }, { "id": "p11.2.38", "order": 40, "type": "table_cell", "bbox": { "l": 519.0966, "t": 516.9901, "r": 543.8466, "b": 502.1511 }, "text": "8 - 12", "attrs": { "row": 7, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 37 }, { "id": "p11.2.39", "order": 41, "type": "table_cell", "bbox": { "l": 61.1116, "t": 471.8021, "r": 344.9006, "b": 424.9751 }, "text": "Alfalfa\nRye grass\nRoots and Tubers", "attrs": { "row": 8, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 38 }, { "id": "p11.2.40", "order": 42, "type": "table_cell", "bbox": { "l": 153.8086, "t": 471.8021, "r": 189.1186, "b": 440.9691 }, "text": "40 - 118\n24 - 40", "attrs": { "row": 8, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 39 }, { "id": "p11.2.41", "order": 43, "type": "table_cell", "bbox": { "l": 226.3316, "t": 471.8021, "r": 296.5886, "b": 440.9691 }, "text": "Bermuda\nGrazing Pasture", "attrs": { "row": 8, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 40 }, { "id": "p11.2.42", "order": 44, "type": "table_cell", "bbox": { "l": 336.4416, "t": 471.8021, "r": 366.4716, "b": 440.9691 }, "text": "40 - 60\n20 - 60", "attrs": { "row": 8, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 41 }, { "id": "p11.2.43", "order": 45, "type": "table_cell", "bbox": { "l": 418.3916, "t": 471.8021, "r": 464.5256, "b": 440.9691 }, "text": "Clover\nTurf Grass", "attrs": { "row": 8, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 42 }, { "id": "p11.2.44", "order": 46, "type": "table_cell", "bbox": { "l": 516.4456, "t": 471.8021, "r": 546.4756, "b": 440.9691 }, "text": "24 - 35\n20 - 40", "attrs": { "row": 8, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 43 }, { "id": "p11.2.45", "order": 47, "type": "table_cell", "bbox": { "l": 64.0266, "t": 423.8201, "r": 98.8746, "b": 408.9811 }, "text": "Cassava", "attrs": { "row": 9, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 44 }, { "id": "p11.2.46", "order": 48, "type": "table_cell", "bbox": { "l": 156.4376, "t": 423.8201, "r": 186.4676, "b": 408.9811 }, "text": "28 - 40", "attrs": { "row": 9, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 45 }, { "id": "p11.2.47", "order": 49, "type": "table_cell", "bbox": { "l": 246.2966, "t": 423.8201, "r": 276.6016, "b": 408.9811 }, "text": "Turnip", "attrs": { "row": 9, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 46 }, { "id": "p11.2.48", "order": 50, "type": "table_cell", "bbox": { "l": 336.4306, "t": 423.8201, "r": 366.4606, "b": 408.9811 }, "text": "20 - 40", "attrs": { "row": 9, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 47 }, { "id": "p11.2.49", "order": 51, "type": "table_cell", "bbox": { "l": 427.3126, "t": 423.8201, "r": 455.5826, "b": 408.9811 }, "text": "Potato", "attrs": { "row": 9, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 48 }, { "id": "p11.2.50", "order": 52, "type": "table_cell", "bbox": { "l": 516.4346, "t": 423.8201, "r": 546.4646, "b": 408.9811 }, "text": "16 - 24", "attrs": { "row": 9, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 49 }, { "id": "p11.2.51", "order": 53, "type": "table_cell", "bbox": { "l": 53.4446, "t": 407.8261, "r": 326.1236, "b": 376.9931 }, "text": "Sweet Potato\nLegumes", "attrs": { "row": 10, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 50 }, { "id": "p11.2.52", "order": 54, "type": "table_cell", "bbox": { "l": 156.4376, "t": 407.8261, "r": 186.4676, "b": 392.9871 }, "text": "40 - 60", "attrs": { "row": 10, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 51 }, { "id": "p11.2.53", "order": 55, "type": "table_cell", "bbox": { "l": 238.0466, "t": 407.8261, "r": 284.8516, "b": 392.9871 }, "text": "Sugar Beet", "attrs": { "row": 10, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 52 }, { "id": "p11.2.54", "order": 56, "type": "table_cell", "bbox": { "l": 336.4306, "t": 407.8261, "r": 366.4606, "b": 392.9871 }, "text": "28 - 47", "attrs": { "row": 10, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 53 }, { "id": "p11.2.55", "order": 57, "type": "table_cell", "bbox": { "l": 424.7826, "t": 407.8261, "r": 458.1126, "b": 392.9871 }, "text": "Parsnip", "attrs": { "row": 10, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 54 }, { "id": "p11.2.56", "order": 58, "type": "table_cell", "bbox": { "l": 336.4196, "t": 375.8381, "r": 366.4496, "b": 360.9991 }, "text": "24 - 40", "attrs": { "row": 10, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 55 }, { "id": "p11.2.57", "order": 59, "type": "table_cell", "bbox": { "l": 68.3826, "t": 375.8381, "r": 94.5076, "b": 360.9991 }, "text": "Beans", "attrs": { "row": 11, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 56 }, { "id": "p11.2.58", "order": 60, "type": "table_cell", "bbox": { "l": 156.4266, "t": 375.8381, "r": 186.4566, "b": 360.9991 }, "text": "20 - 47", "attrs": { "row": 11, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 57 }, { "id": "p11.2.59", "order": 61, "type": "table_cell", "bbox": { "l": 251.7306, "t": 375.8381, "r": 271.1456, "b": 360.9991 }, "text": "Peas", "attrs": { "row": 11, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 58 }, { "id": "p11.2.60", "order": 62, "type": "table_cell", "bbox": { "l": 517.7106, "t": 575.3781, "r": 545.2436, "b": 560.5391 }, "text": "24 - 40", "attrs": { "row": 11, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 59 }, { "id": "p11.2.61", "order": 63, "type": "table_cell", "bbox": { "l": 426.3446, "t": 375.8381, "r": 456.5286, "b": 360.9991 }, "text": "Peanut", "attrs": { "row": 11, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 60 }, { "id": "p11.2.62", "order": 64, "type": "table_cell", "bbox": { "l": 516.4236, "t": 375.8381, "r": 546.4536, "b": 360.9991 }, "text": "20 - 40", "attrs": { "row": 11, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 61 }, { "id": "p11.2.63", "order": 65, "type": "table_cell", "bbox": { "l": 68.5916, "t": 359.1181, "r": 332.5256, "b": 327.5591 }, "text": "Lentil\nFiber Crops", "attrs": { "row": 12, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 62 }, { "id": "p11.2.64", "order": 66, "type": "table_cell", "bbox": { "l": 156.4266, "t": 359.1181, "r": 186.4566, "b": 344.2791 }, "text": "24 - 30", "attrs": { "row": 12, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 63 }, { "id": "p11.2.65", "order": 67, "type": "table_cell", "bbox": { "l": 240.8846, "t": 359.1181, "r": 281.9916, "b": 344.2791 }, "text": "Soybeans", "attrs": { "row": 12, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 64 }, { "id": "p11.2.66", "order": 68, "type": "table_cell", "bbox": { "l": 336.4196, "t": 359.1181, "r": 366.4496, "b": 344.2791 }, "text": "24 - 50", "attrs": { "row": 12, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 65 }, { "id": "p11.2.67", "order": 69, "type": "table_cell", "bbox": { "l": 413.8156, "t": 359.1181, "r": 469.0466, "b": 344.2791 }, "text": "Green Gram", "attrs": { "row": 12, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 66 }, { "id": "p11.2.68", "order": 70, "type": "table_cell", "bbox": { "l": 516.4126, "t": 359.1181, "r": 546.4426, "b": 344.2791 }, "text": "20 - 43", "attrs": { "row": 12, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 67 }, { "id": "p11.2.69", "order": 71, "type": "table_cell", "bbox": { "l": 65.9186, "t": 326.4041, "r": 326.6076, "b": 295.5711 }, "text": "Cotton\nOil crops", "attrs": { "row": 13, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 68 }, { "id": "p11.2.70", "order": 72, "type": "table_cell", "bbox": { "l": 156.4046, "t": 326.4041, "r": 186.4346, "b": 311.5651 }, "text": "40 - 67", "attrs": { "row": 13, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 69 }, { "id": "p11.2.71", "order": 73, "type": "table_cell", "bbox": { "l": 252.0936, "t": 326.4041, "r": 270.7496, "b": 311.5651 }, "text": "Flax", "attrs": { "row": 13, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 70 }, { "id": "p11.2.72", "order": 74, "type": "table_cell", "bbox": { "l": 336.4086, "t": 326.4041, "r": 366.4386, "b": 311.5651 }, "text": "40 - 60", "attrs": { "row": 13, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 71 }, { "id": "p11.2.73", "order": 75, "type": "table_cell", "bbox": { "l": 431.5036, "t": 326.4041, "r": 451.3366, "b": 311.5651 }, "text": "Sisal", "attrs": { "row": 13, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 72 }, { "id": "p11.2.74", "order": 76, "type": "table_cell", "bbox": { "l": 516.4016, "t": 326.4041, "r": 546.4316, "b": 311.5651 }, "text": "20 - 40", "attrs": { "row": 13, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 73 }, { "id": "p11.2.75", "order": 77, "type": "table_cell", "bbox": { "l": 55.3696, "t": 294.4161, "r": 322.6696, "b": 250.3831 }, "text": "Ricinus and safflower\nCereals", "attrs": { "row": 14, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 74 }, { "id": "p11.2.76", "order": 78, "type": "table_cell", "bbox": { "l": 156.3936, "t": 294.4161, "r": 186.4236, "b": 279.5771 }, "text": "40 - 80", "attrs": { "row": 14, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 75 }, { "id": "p11.2.77", "order": 79, "type": "table_cell", "bbox": { "l": 221.2496, "t": 294.4161, "r": 301.5716, "b": 266.37710000000004 }, "text": "Rapeseed, Canola, and Sesame", "attrs": { "row": 14, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 76 }, { "id": "p11.2.78", "order": 80, "type": "table_cell", "bbox": { "l": 336.3976, "t": 294.4161, "r": 366.4276, "b": 279.5771 }, "text": "20 - 40", "attrs": { "row": 14, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 77 }, { "id": "p11.2.79", "order": 81, "type": "table_cell", "bbox": { "l": 419.2056, "t": 294.4161, "r": 463.6236, "b": 279.5771 }, "text": "Sunflower", "attrs": { "row": 14, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 78 }, { "id": "p11.2.80", "order": 82, "type": "table_cell", "bbox": { "l": 516.4016, "t": 294.4161, "r": 546.4316, "b": 279.5771 }, "text": "30 - 60", "attrs": { "row": 14, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 79 }, { "id": "p11.2.81", "order": 83, "type": "table_cell", "bbox": { "l": 51.1786, "t": 249.22810000000004, "r": 111.6346, "b": 221.18910000000005 }, "text": "Barley, Oates, Spring Wheat", "attrs": { "row": 15, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 80 }, { "id": "p11.2.82", "order": 84, "type": "table_cell", "bbox": { "l": 156.3936, "t": 249.22810000000004, "r": 186.4236, "b": 234.38909999999998 }, "text": "40 - 60", "attrs": { "row": 15, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 81 }, { "id": "p11.2.83", "order": 85, "type": "table_cell", "bbox": { "l": 230.0826, "t": 249.22810000000004, "r": 292.7386, "b": 234.38909999999998 }, "text": "Winter Wheat", "attrs": { "row": 15, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 82 }, { "id": "p11.2.84", "order": 86, "type": "table_cell", "bbox": { "l": 336.3976, "t": 249.22810000000004, "r": 366.4276, "b": 234.38909999999998 }, "text": "60 - 70", "attrs": { "row": 15, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 83 }, { "id": "p11.2.85", "order": 87, "type": "table_cell", "bbox": { "l": 418.7216, "t": 249.22810000000004, "r": 464.1076, "b": 221.18910000000005 }, "text": "Millet and Sorghum", "attrs": { "row": 15, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 84 }, { "id": "p11.2.86", "order": 88, "type": "table_cell", "bbox": { "l": 516.3906, "t": 249.22810000000004, "r": 546.4206, "b": 234.38909999999998 }, "text": "40 - 80", "attrs": { "row": 15, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 85 }, { "id": "p11.2.87", "order": 89, "type": "table_cell", "bbox": { "l": 55.8646, "t": 220.03409999999997, "r": 328.9506, "b": 189.2011 }, "text": "Field Maize\nFruit trees", "attrs": { "row": 16, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true, "merged_continuation": true }, "reading_order": 86 }, { "id": "p11.2.88", "order": 90, "type": "table_cell", "bbox": { "l": 156.3826, "t": 220.03409999999997, "r": 186.4126, "b": 205.19510000000002 }, "text": "40 - 67", "attrs": { "row": 16, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 87 }, { "id": "p11.2.89", "order": 91, "type": "table_cell", "bbox": { "l": 234.2296, "t": 220.03409999999997, "r": 288.5586, "b": 205.19510000000002 }, "text": "Sweet Maize", "attrs": { "row": 16, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 88 }, { "id": "p11.2.90", "order": 92, "type": "table_cell", "bbox": { "l": 336.3756, "t": 220.03409999999997, "r": 366.4056, "b": 205.19510000000002 }, "text": "30 - 47", "attrs": { "row": 16, "col": 3, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 89 }, { "id": "p11.2.91", "order": 93, "type": "table_cell", "bbox": { "l": 431.8116, "t": 220.03409999999997, "r": 450.9626, "b": 205.19510000000002 }, "text": "Rice", "attrs": { "row": 16, "col": 4, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 90 }, { "id": "p11.2.92", "order": 94, "type": "table_cell", "bbox": { "l": 516.3686, "t": 220.03409999999997, "r": 546.3986, "b": 205.19510000000002 }, "text": "20 - 40", "attrs": { "row": 16, "col": 5, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 91 }, { "id": "p11.2.93", "order": 95, "type": "table_cell", "bbox": { "l": 42.3126, "t": 188.04610000000002, "r": 120.4456, "b": 133.60709999999995 }, "text": "Almonds, Apples, Cherries, Pears, Apricots, and Peaches", "attrs": { "row": 17, "col": 0, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 92 }, { "id": "p11.2.94", "order": 96, "type": "table_cell", "bbox": { "l": 153.7206, "t": 188.04610000000002, "r": 189.0306, "b": 173.20709999999997 }, "text": "40 - 118", "attrs": { "row": 17, "col": 1, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 93 }, { "id": "p11.2.95", "order": 97, "type": "table_cell", "bbox": { "l": 242.1166, "t": 188.04610000000002, "r": 280.6386, "b": 173.20709999999997 }, "text": "Avocado", "attrs": { "row": 17, "col": 2, "rowspan": 1, "colspan": 1, "bbox_refit": true }, "reading_order": 94 }, { "id": "p11.2.96", "order": 98, "type": "table_cell", "bbox": { "l": 336.3646, "t": 188.04610000000002, "r": 366.3946, "b": 173.20709999999997 }, "text": "20 - 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"paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 26, "counts_by_type": { "heading": 2, "text": 24 }, "build_ms": 3, "items": [ { "id": "p13.1", "order": 1, "type": "heading", "bbox": { "l": 33.36, "t": 758.16, "r": 253.44, "b": 740.88 }, "text": "Final remarks before selecting SMS", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 0 }, { "id": "p13.2", "order": 2, "type": "text", "bbox": { "l": 33.36, "t": 727.2, "r": 299.52, "b": 610.08 }, "text": "Before selecting the suitable SMS for our farm, we should always pay attention to our budget (capital and annual costs), soil properties, application (i.e., irrigation scheduling, monitoring, research), plant type and root depth, accuracy and moisture range required, quality of irrigation/fertigation water, and skill level needed for operation and maintenance of SMS. Here are some key notes:", "reading_order": 1 }, { "id": "p13.3", "order": 3, "type": "text", "bbox": { "l": 33.12, "t": 597.12, "r": 295.2, "b": 538.32 }, "text": "In general, higher frequency measurements result in higher quality data, but also higher SMS cost. Indeed, true value in SMS comes from the optimization of the balance between performance accuracy and price.", "reading_order": 2 }, { "id": "p13.4", "order": 4, "type": "text", "bbox": { "l": 33.12, "t": 525.36, "r": 301.44, "b": 451.92 }, "text": "Variations of salinity in the soil will often result in perplexing SMS readings and frustration for farmers. For salinity conditions, TDR, FDR, and capacitance are better choices but still need careful consideration, as not all of them are created equally.", "reading_order": 3 }, { "id": "p13.5", "order": 5, "type": "text", "bbox": { "l": 33.12, "t": 438.72, "r": 295.68, "b": 365.04 }, "text": "It is recommended to apply data loggers to store and log the soil data. This will help in data interpretation and quick decision making. However, if the labor cost is more affordable than the data logger cost, manual recording of SMS could be an option too.", "reading_order": 4 }, { "id": "p13.6", "order": 6, "type": "text", "bbox": { "l": 33.12, "t": 352.56, "r": 296.88, "b": 307.68 }, "text": "The highest performance will be achieved if we use SMS with irrigation scheduling, apps, weather stations and other best management practices (BMPs).", "reading_order": 5 }, { "id": "p13.7", "order": 7, "type": "text", "bbox": { "l": 33.12, "t": 295.2, "r": 297.36, "b": 264 }, "text": "We should read SMS daily if we use data loggers and every two to three days if we record the data manually.", "reading_order": 6 }, { "id": "p13.8", "order": 8, "type": "text", "bbox": { "l": 33.12, "t": 252, "r": 283.68, "b": 221.76 }, "text": "Reading catalogues and manuals of SMS helps for a precise calibration and installation.\nground.", "reading_order": 7 }, { "id": "p13.9", "order": 9, "type": "text", "bbox": { "l": 33.12, "t": 208.56, "r": 300.72, "b": 135.12 }, "text": "It is recommended for irrigation to replenish the soil moisture to less than FC. Then there will be some room for potential precipitation, especially for the days when irrigation is necessary but there is a moderate to high chance of precipitation.", "reading_order": 8 }, { "id": "p13.10", "order": 10, "type": "heading", "bbox": { "l": 33.84, "t": 121.2, "r": 91.44, "b": 104.88 }, "text": "Glossary", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 9 }, { "id": "p13.11", "order": 11, "type": "text", "bbox": { "l": 33.12, "t": 90.96, "r": 260.16, "b": 60.72 }, "text": "Adhesion - A process in which soils hold water molecules rigidly at their soil-water interfaces.", "reading_order": 10 }, { "id": "p13.12", "order": 12, "type": "text", "bbox": { "l": 33.12, "t": 48, "r": 276.24, "b": 31.92 }, "text": "Auger - A spiral-shaped tool to drill holes into the Calibration - Process of configuring a device to provide a result for a sample within an acceptable range.", "reading_order": 11 }, { "id": "p13.13", "order": 13, "type": "text", "bbox": { "l": 309.6, "t": 757.92, "r": 350.88, "b": 742.08 }, "text": "ground.", "reading_order": 12 }, { "id": "p13.14", "order": 14, "type": "text", "bbox": { "l": 309.36, "t": 729.36, "r": 571.92, "b": 684.72 }, "text": "Best management practices - Ways to manage our land and activities to mitigate pollution of surface and groundwater near us.", "reading_order": 13 }, { "id": "p13.15", "order": 15, "type": "text", "bbox": { "l": 309.12, "t": 672, "r": 576.72, "b": 641.04 }, "text": "Calibration - Process of configuring a device to provide a result for a sample within an acceptable range.", "reading_order": 14 }, { "id": "p13.16", "order": 16, "type": "text", "bbox": { "l": 309.36, "t": 628.8, "r": 567.12, "b": 598.32 }, "text": "Canopy - Aboveground portion of a plant, formed by the collection of individual plant crowns.", "reading_order": 15 }, { "id": "p13.17", "order": 17, "type": "text", "bbox": { "l": 309.12, "t": 585.84, "r": 566.16, "b": 555.6 }, "text": "Dielectric permittivity - Ability of a substance to hold an electrical charge.", "reading_order": 16 }, { "id": "p13.18", "order": 18, "type": "text", "bbox": { "l": 309.6, "t": 542.16, "r": 571.92, "b": 511.92 }, "text": "Electrical conductivity - A measure of the resistance of a particular material to an electric current.", "reading_order": 17 }, { "id": "p13.19", "order": 19, "type": "text", "bbox": { "l": 309.6, "t": 498.96, "r": 564, "b": 469.2 }, "text": "Electrical resistance - A measure of opposition to the flow of electric current.", "reading_order": 18 }, { "id": "p13.20", "order": 20, "type": "text", "bbox": { "l": 309.6, "t": 455.52, "r": 570.96, "b": 426.24 }, "text": "Electrodes - Conductors that are used to make contact with a nonmetallic part of a circuit.", "reading_order": 19 }, { "id": "p13.21", "order": 21, "type": "text", "bbox": { "l": 309.36, "t": 412.56, "r": 569.52, "b": 338.64 }, "text": "Electromagnetic signal - One of the waves that is propagated by simultaneous periodic variations of electric and magnetic field intensity and that include radio waves, infrared, visible light, ultraviolet, X-rays, and gamma rays.", "reading_order": 20 }, { "id": "p13.22", "order": 22, "type": "text", "bbox": { "l": 309.12, "t": 326.16, "r": 562.08, "b": 281.28 }, "text": "Erosion - Geological process in which earthen materials are worn away and transported by natural forces, especially by water.", "reading_order": 21 }, { "id": "p13.23", "order": 23, "type": "text", "bbox": { "l": 309.36, "t": 267.6, "r": 570.72, "b": 166.56 }, "text": "Evapotranspiration - A process by which water is transferred from the land to the atmosphere, by water leaving the soil (evaporation) and water lost through plant leaves and stems (transpiration).\nFertigation – A process of using the existing irrigation system in a field to inject plants with the required fertilizers.", "reading_order": 22 }, { "id": "p13.24", "order": 24, "type": "text", "bbox": { "l": 309.36, "t": 153.36, "r": 569.76, "b": 122.64 }, "text": "Ions - Group of atoms that bears one or more positive or negative electrical charges.", "reading_order": 23 }, { "id": "p13.25", "order": 25, "type": "text", "bbox": { "l": 308.64, "t": 109.92, "r": 559.68, "b": 64.8 }, "text": "Irrigation - A controlled agricultural process during which water is applied to soil to assist in the production of crops, also known as watering.", "reading_order": 24 }, { "id": "p13.26", "order": 26, "type": "text", "bbox": { "l": 309.12, "t": 52.8, "r": 571.92, "b": 36.96 }, "text": "Leaching - Infiltrated water moving down through the", "reading_order": 25 } ] }, { "document_id": 13135, "page": 14, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 17, "counts_by_type": { "heading": 1, "text": 16 }, "build_ms": 2, "items": [ { "id": "p14.1", "order": 1, "type": "text", "bbox": { "l": 33.84, "t": 757.68, "r": 234.24, "b": 742.56 }, "text": "soil profile before it can be used by crops.", "reading_order": 0 }, { "id": "p14.2", "order": 2, "type": "text", "bbox": { "l": 33.84, "t": 728.88, "r": 293.28, "b": 670.32 }, "text": "Matric potential - A negative pressure or suction head that is read by SMS and reflects the ability of soil to either retain or move water as a result of suction exerted by soil pores.", "reading_order": 1 }, { "id": "p14.3", "order": 3, "type": "text", "bbox": { "l": 34.08, "t": 657.12, "r": 295.44, "b": 615.12 }, "text": "Oscillator - A device that converts direct current (DC) from a power supply to an alternating current (AC) signal.", "reading_order": 2 }, { "id": "p14.4", "order": 4, "type": "text", "bbox": { "l": 33.84, "t": 613.68, "r": 295.68, "b": 570.72 }, "text": "Runoff - Water that originates from landscapes during precipitation/irrigation events that does not infiltrate into the soil.", "reading_order": 3 }, { "id": "p14.5", "order": 5, "type": "text", "bbox": { "l": 34.08, "t": 556.08, "r": 300.96, "b": 527.28 }, "text": "Soil moisture sensors - Devices that are used to measure water content of a soil by various techniques.", "reading_order": 4 }, { "id": "p14.6", "order": 6, "type": "text", "bbox": { "l": 34.08, "t": 512.88, "r": 293.76, "b": 484.56 }, "text": "Soil texture - Composition of soil based on its particle sizes.\nVolumetric - A unit of measurement in which the water in a soil is described by the percent volume of the space that the water is occupying.", "reading_order": 5 }, { "id": "p14.7", "order": 7, "type": "text", "bbox": { "l": 33.84, "t": 469.92, "r": 288.24, "b": 440.64 }, "text": "Voltage - Difference of potential energy between two points on a circuit.\nWater use efficiency - Percentage of applied water used by the intended plant.", "reading_order": 6 }, { "id": "p14.8", "order": 8, "type": "heading", "bbox": { "l": 34.08, "t": 427.68, "r": 106.08, "b": 411.6 }, "text": "References", "attrs": { "block_label": "paragraph_title" }, "level": 3, "reading_order": 7 }, { "id": "p14.9", "order": 9, "type": "text", "bbox": { "l": 33.6, "t": 397.2, "r": 571.2, "b": 367.92 }, "text": "Allen, R.G., Pereira, L.S., Raes, D. and Smith, M., 1998. Crop evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9), p.D05109.", "attrs": { "block_label": "reference_content" }, "reading_order": 8 }, { "id": "p14.10", "order": 10, "type": "text", "bbox": { "l": 34.56, "t": 354, "r": 563.04, "b": 324.24 }, "text": "Blonquist Jr, J.M., Jones, S.B. and Robinson, D.A., 2006. Precise irrigation scheduling for turfgrass using a sub-surface electromagnetic soil moisture sensor. Agricultural Water Management, 84(1-2), pp.153-165.", "attrs": { "block_label": "reference_content" }, "reading_order": 9 }, { "id": "p14.11", "order": 11, "type": "text", "bbox": { "l": 34.32, "t": 310.8, "r": 488.88, "b": 295.68 }, "text": "Easton, Z.M., Bock, E., 2016. Soil and soil water relationships. Virginia Cooperative Extension.", "attrs": { "block_label": "reference_content" }, "reading_order": 10 }, { "id": "p14.12", "order": 12, "type": "text", "bbox": { "l": 34.08, "t": 282, "r": 558.96, "b": 252.96 }, "text": "Edaphic, 2021. Time domain reflectometry (TDR). https://edaphic.com.au/soil-water-compendium/time-domain-reflectometry-tdr/ (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 11 }, { "id": "p14.13", "order": 13, "type": "text", "bbox": { "l": 34.32, "t": 239.04, "r": 562.32, "b": 196.32 }, "text": "Kelleners, T.J., Soppe, R.W.O., Robinson, D.A., Schaap, M.G., Ayars, J.E. and Skaggs, T.H., 2004. Calibration of capacitance probe sensors using electric circuit theory. Soil Science Society of America Journal, 68(2), pp.430-439.", "attrs": { "block_label": "reference_content" }, "reading_order": 12 }, { "id": "p14.14", "order": 14, "type": "text", "bbox": { "l": 34.08, "t": 181.2, "r": 556.56, "b": 151.44 }, "text": "Kukal, M.S., Irmak, S. and Sharma, K., 2020. Development and application of a performance and operational feasibility guide to facilitate adoption of soil moisture sensors. Sustainability, 12(1), p.321.", "attrs": { "block_label": "reference_content" }, "reading_order": 13 }, { "id": "p14.15", "order": 15, "type": "text", "bbox": { "l": 34.08, "t": 137.76, "r": 574.08, "b": 109.2 }, "text": "Labodia Prima, 2019. The Standing Wave (ADR) Measurement Principle. https://www.labodiaprima.com/amplitude-domain-reflectometry-adr (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 14 }, { "id": "p14.16", "order": 16, "type": "text", "bbox": { "l": 34.32, "t": 94.8, "r": 440.4, "b": 79.92 }, "text": "Ling, P., 2004. A review of soil moisture sensors. Assn. Flor. Prof. Bull, 886, pp.22-23.", "attrs": { "block_label": "reference_content" }, "reading_order": 15 }, { "id": "p14.17", "order": 17, "type": "text", "bbox": { "l": 34.32, "t": 65.76, "r": 555.6, "b": 38.4 }, "text": "Maughan, T., Allen, L.N. and Drost, D., 2015. Soil moisture measurement and sensors for irrigation management.", "attrs": { "block_label": "reference_content" }, "reading_order": 16 } ] }, { "document_id": 13135, "page": 15, "width": 612, "height": 792, "rotation": 0, "pipeline_version": "paddleocr-vl-1.6+paul-48", "width_pt": 612, "height_pt": 792, "engine": "paddleocr_vl", "source_run_id": 13249, "item_count": 15, "counts_by_type": { "footer": 3, "text": 12 }, "build_ms": 1, "items": [ { "id": "p15.1", "order": 1, "type": "text", "bbox": { "l": 34.08, "t": 757.92, "r": 465.12, "b": 743.04 }, "text": "Munoz-Carpena, R., 2004. Field devices for monitoring soil water content. EDIS, 2004(8).", "attrs": { "block_label": "reference_content" }, "reading_order": 0 }, { "id": "p15.2", "order": 2, "type": "text", "bbox": { "l": 33.84, "t": 729.6, "r": 553.44, "b": 699.36 }, "text": "Panuska, J. Sanford, S., and Newenhouse, A., 2015. Methods to monitor soil moisture. University of Wisconsin--Extension, Cooperative Extension.", "attrs": { "block_label": "reference_content" }, "reading_order": 1 }, { "id": "p15.3", "order": 3, "type": "text", "bbox": { "l": 34.08, "t": 686.4, "r": 568.8, "b": 642.72 }, "text": "Payero, J., 2021. Clemson research finds using soil moisture sensors can increase farmer's net income. https://news.clemson.edu/clemson-research-finds-using-soil-moisture-sensors-can-increase-farmers-net-income/ (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 2 }, { "id": "p15.4", "order": 4, "type": "text", "bbox": { "l": 34.08, "t": 628.8, "r": 573.6, "b": 584.88 }, "text": "Risinger, M., 2021. Tensiometer. https://sanangelo.tamu.edu/extension/agronomy/agronomy-publications/grainsorghum-production-in-west-central-texas/how-to-estimate-soil-moisture-by-feel/soil-moisture-measuring-devices/tensiometer/ (accessed 1/10/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 3 }, { "id": "p15.5", "order": 5, "type": "text", "bbox": { "l": 34.32, "t": 570.96, "r": 575.04, "b": 541.2 }, "text": "Robinson, A., 2021. Soiltech Wireless Makes Moisture Sensors for Less. https://spudsmart.com/soiltech-wireless-makes-moisture-sensors-for-less/ (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 4 }, { "id": "p15.6", "order": 6, "type": "text", "bbox": { "l": 33.84, "t": 527.76, "r": 560.88, "b": 498 }, "text": "Sample, D.J., Owen, J.S., Fields, J.S. and Barlow, S., 2016. Understanding soil moisture sensors: A fact sheet for irrigation professionals in Virginia.", "attrs": { "block_label": "reference_content" }, "reading_order": 5 }, { "id": "p15.7", "order": 7, "type": "text", "bbox": { "l": 33.84, "t": 484.8, "r": 562.08, "b": 441.12 }, "text": "Sharma, V., 2019. Soil moisture sensors for irrigation scheduling. https://extension.umn.edu/irrigation/soil-moisture-sensors-irrigation-scheduling#pros%2C-cons-and-costs-of-soil-water-tension-sensors-1751861 (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 6 }, { "id": "p15.8", "order": 8, "type": "text", "bbox": { "l": 33.12, "t": 427.2, "r": 566.88, "b": 397.2 }, "text": "Singh, A.K., Bhardwaj, A.K., Verma, C.L., Mishra, V.K., Singh, A.K., Arora, S., Sharma, N. and Ojha, R.P., 2019. Soil moisture sensing techniques for scheduling irrigation. J. Soil Salin. Water Qual, 11, 68-76.", "attrs": { "block_label": "reference_content" }, "reading_order": 7 }, { "id": "p15.9", "order": 9, "type": "text", "bbox": { "l": 33.36, "t": 383.76, "r": 572.64, "b": 354 }, "text": "SwitchDoc, 2019. Tutorial - Using Capacitive Soil Moisture Sensors on the Raspberry Pi. https://www.switchdoc.com/2020/06/tutorial-capacitive-moisture-sensor-grove/ (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 8 }, { "id": "p15.10", "order": 10, "type": "text", "bbox": { "l": 33.36, "t": 340.8, "r": 551.52, "b": 310.8 }, "text": "Trellis, 2021. 3 Types of Soil Moisture Sensors - Which is Best For You? https://mytrellis.com/blog/smstypes (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 9 }, { "id": "p15.11", "order": 11, "type": "text", "bbox": { "l": 34.08, "t": 297.6, "r": 559.2, "b": 267.12 }, "text": "Viloria, Z., Dunwell, W., 2017. Soil moisture sensors to schedule irrigation in container blueberry production. Kentucky Nursery LISTSERV Bulletin. UKAg Extension.", "attrs": { "block_label": "reference_content" }, "reading_order": 10 }, { "id": "p15.12", "order": 12, "type": "text", "bbox": { "l": 33.84, "t": 254.64, "r": 544.8, "b": 239.04 }, "text": "USDA, 2018. Census of Agriculture. 2018 Irrigation and Water Management Survey. (accessed 4/20/2022).", "attrs": { "block_label": "reference_content" }, "reading_order": 11 }, { "id": "p15.13", "order": 13, "type": "footer", "bbox": { "l": 34.8, "t": 83.04, "r": 113.76, "b": 17.04 }, "text": "", "attrs": { "block_label": "footer_image" }, "reading_order": 12 }, { "id": "p15.14", "order": 14, "type": "footer", "bbox": { "l": 210.96, "t": 58.56, "r": 439.2, "b": 43.68 }, "text": "This institution is an equal opportunity provider.", "attrs": { "block_label": "footer" }, "reading_order": 13 }, { "id": "p15.15", "order": 15, "type": "footer", "bbox": { "l": 504.72, "t": 31.68, "r": 576.72, "b": 21.6 }, "text": "KYSU-CEP-FAC-0112", "attrs": { "block_label": "footer" }, "reading_order": 14 } ] } ] }