SPATIAL VARIABILITY MAPPING OF MACRONUTRIENTS TO IMPROVE PRODUCTIVITY USING GEO-INFORMATICS TECHNOLOGY IN ARAVALLI AND MAHISAGAR DISTRICT, GUJARAT

Kartik Thakor; Sujay Dutta

Volume : VII, Issue : VI, June - 2018

SPATIAL VARIABILITY MAPPING OF MACRONUTRIENTS TO IMPROVE PRODUCTIVITY USING GEO-INFORMATICS TECHNOLOGY IN ARAVALLI AND MAHISAGAR DISTRICT, GUJARAT

Kartik Thakor, Sujay Dutta

Abstract :

GIS based soil fertility mapping can provide a cost effective alternative strategy for an effective nutrient management. For this purpose soil macronutrients datasets of Aravalli (330 samples) and Mahisagar district (301 samples) were obtained in spreadsheet format from Anand Agriculture University, Gujarat. Further, generated spatial distribution maps of macronutrients {viz. Nitrogen (N), Phosphorus (P) and Potassium (K)} using IDW interpolation technique of GIS. Range and average variability status also estimated using Exploratory Spatial Data Analysis tool of ArcGIS10. Soil Nutrients Indices evaluate fertility class of soil. The results of SNI revealed medium and higher fertility class of phosphorus across Aravalli and Mahisagar district, respectively. Across Aravalli and Mahisagar district SNI also revealed low fertility class of nitrogen and higher fertility class of potassium into soil. On the basis of spatial distribution maps and SNI recommended fertilizer doses for macronutrients management and improving crop productivity across Aravalli and Mahisagar district, Gujarat.