GIS Based Spatial Prediction of Major Nutrient Status of Soils at Farm Scale for Site Specific Crop Management

GIS Based Spatial Prediction of Major Nutrient Status of Soils at Farm Scale for Site Specific Crop Management

In the current research, Global Positioning System (GPS) based 121 surface soil samples were collected and analyzed in the laboratory for different soil fertility parameters. The results showed that the bulk density (BD) of soils of 1.39 Mg m −3 , dark gray and grayish brown, sandy clay loam, neutra...

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Bibliographic Details
Published in:Communications in Soil Science and Plant Analysis Vol. 54; no. 18; pp. 2590 - 2608
Main Authors: Yadav, Indra Raj, Tagore, G.S., Kulhare, P.S., Sharma, G. D., Yadav, Suwa Lal, Verma, Abhishek
Format: Journal Article
Language:English
Published: Philadelphia Taylor & Francis 11-10-2023
Taylor & Francis Ltd
Subjects:
Alkaline soils
Bulk density
Calcium carbonate
Clay loam
Crop management
Electrical conductivity
Electrical resistivity
Farm
Farms
Fertility
Geographical information systems
GIS
Global positioning systems
GPS
Land use
Nitrogen
Nutrient status
Organic carbon
Phosphorus
Positioning systems
Post hoc analysis
Potassium
Soil
Soil fertility
Spatial analysis
Statistical methods
Sulphur
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Summary:In the current research, Global Positioning System (GPS) based 121 surface soil samples were collected and analyzed in the laboratory for different soil fertility parameters. The results showed that the bulk density (BD) of soils of 1.39 Mg m −3 , dark gray and grayish brown, sandy clay loam, neutral to slightly alkaline soil reaction (pH), safe in electrical conductivity (EC), low to medium in organic carbon (OC) and non-calcareous in nature. The nitrogen (N), phosphorus (P), potassium (K) and sulfur (S) were analyzed as low, medium, high and low with NI of 1.26, 2.19, 2.69 and 1.31, respectively. In the Farm, field (F) wise, OC, N, P, K and S content in soil varied from 4.89 (F20) to 7.33 g kg −1 (F15), 196.71 (F20) to 264.25 kg ha −1 (F15), 4.10 (F19) to 27.04 kg ha −1 (F16), 292.72 (F2) to 674.80 kg ha −1 (F13) and 3.99 (F18) to 13.75 mg kg −1 (F13), respectively. Post hoc results also revealed that fields and land use types were significantly different. Ordinary Kriging in Geo-statistical tools revealed that the exponential model was best fitted for, N, P, K, OC, √CaCO 3 and √K, which exhibited moderate spatial dependence (>25 but < 75%), whereas Gaussian model was used for BD, pH and CaCO 3 . Correlation ranges(m) for P was 717.57 m and exhibited strong spatial dependency (<25%). The J-Bessel model was used for EC and√EC. The spherical model was used for S which showed 57.95% spatial dependence. The spatial maps could be used as a basis for precision farming.
ISSN:0010-3624
1532-2416
1532-4133
DOI:10.1080/00103624.2023.2228342