ABSTRACT
Due to the tremendous need for crop insurance, accurate crop mapping and acreage estimates are essential for crop insurance agencies. The necessity of high demand for crop insurance is mainly due to the occurrence of unexpected damage to crops by natural disasters such as floods and drought. Due to various natural disasters, the rate of degradation and depletion of agricultural patterns rises dramatically, affecting agriculture in multiple ways. It significantly impacts the food security and economic development of a nation. Our country, India, is rich in agricultural resources, despite the existence of diverse lands and escalating issues. Due to the variety of smallholder farming systems, limiting land extent, crop pattern diversity, and lack of field boundaries information, effective mapping of agricultural land is a challenging procedure in land monitoring and management. However, such mapping remains the first and most essential stage in monitoring agricultural land and calculating the spatial distribution of crop acreage. Crop insurance is important in agricultural planning, and to calculate the same, it requires data such as crop acreage and crop yield at the micro level. Crop mapping by field survey and conventional methods such as interpolating older/sampled data is time-consuming, costly, and inaccurate in land monitoring systems. Thus, crop mapping by new technology is essential in planning agricultural activities effectively.
