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Geospatial Comparison of Three Models to Predict Soil Properties in Semi-Humid Region of West Bengal, India
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Investigation of soil properties are important for sustainable soil nutrient management. This paper presented spatial variability of soil properties at large scale based on GIS based geostatistical model. A total 27 soil samples were collected and physio-chemical analysis in laboratory using standard methods. Three geostatistical models i.e. Inverse distance weighted, radial basis functions and ordinary kriging were used to predict spatial variability of soil properties. The ordinary krigging method has provided is the lowest RMSE, indicated the higher accuracy to predict the soil properties compared to RBF and IDW methods.
Keywords
Nitrogen (N), Phosphorous (P), Potassium (K), Organic Carbon (OC), Electrical Conductivity (EC), Geostatistical Modelling.
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