Assessment of Agriculture Productivity Using GIS Techniques in Chhatrapati Sambhajinagar District.

Abstract With an emphasis on nine important crops, this research uses GIS tools to assess agricultural production in the Chhatrapati Sambhajinagar area for 2020-21. Optimizing resource allocation, guaranteeing food security, and promoting sustainable agricultural growth all depend on an understanding of geographical differences in productivity. Crop production levels in various tehsils are to be evaluated in order to divide them into zones of low, medium, and high productivity. Finding these differences gives policymakers important information to improve agricultural productivity. The methodology uses the yield and concentration index integration method developed by Jasbir Singh in 1976. The inputs required to calculate productivity indices are obtained from secondary data sources, such as the Chhatrapati Sambhajinagar District Handbook and the Department of Economics and Statistics. To examine geographical differences in agricultural performance among the tehsils, a ranking coefficient approach is used. Significant differences in agricultural production are revealed by the findings. Because of their excellent agricultural techniques, irrigation systems, and good agroclimatic conditions, Paithan, Vaijapur, and Soegaon are known for their high levels of production. Sillod and Kannad, on the other hand, exhibit low output due to limited irrigation and poor soil conditions. Zones of moderate production provide room for advancement through improved technical interventions and resource management. In order to close production disparities, the conversation focuses on specific actions like more irrigation, better soil management, and precision farming. In order to ensure long-term sustainability and regional food security, the study emphasizes the need of GIS-based spatial analysis in agricultural planning.