Published Paper Details:

Organics, chemical fertilizers play a crucial role for improving crop yield and soil properties. The impact of fertilizers on soil properties intensively for banana and cotton cropping system with organic; chemical and mixed (organic + chemical) treatments assessed for Raver tehsil of Jalgaon district. Remote sensing techniques using visible near-infrared diffuse reflectance spectroscopy has been demonstrated to be a fast tool for estimating a large number of physicochemical soil properties, and effective features extracted from spectra are crucial to correlating with these properties. The FieldSpec4 spectroradiometer was used for spectral data acquisition then Sand, silt, clay, SOM, moisture, pH, carbon, nitrogen, phosphorous, potash soil physical and chemical properties are assessed from spectral data. The PLSR modeling approach was evaluated in the present study to achieve spatial prediction of soil properties. Results of Partial Least Square Regression modeling showed significant prediction of physicochemical soil properties with regression coefficient values (R2) showed highly correlation. The results indicated that PLSR modeling were suited for soil physicochemical properties prediction of spectral data. This techniques is best suited for large scale of remote sensing spectral data.