Abstract
Crop area estimation is a critical aspect of agricultural monitoring and management, providing essential information for decision-making in the agricultural sector. Study was carried out at Semantic Technologies and Agritech services Pvt. Ltd., GIS and Remote sensing team, Pune during Kharif-2023. All methodology given by YESTECH manual under Pradhan Mantri Fasal Bima Yojana (PFMBY) was followed. Latur district facing more weather-based yield losses during last few of years. In this case study we tried to estimate yield of soybean crop for agriculture-based stake holders, insurance companies, Government polices at Revenue circle level (RC). Multimodal approach is beneficial over single model yield estimation approach as it takes ensemble yield for perfect forecasting of crop yield. Accuracy was in the range as given in YESTECH manual at RC level. Thus, overall results show that use of such model for yield estimation is one of the best approach to take the decisions for insurance based stake holders in rainfed regions where more negative consequences on soybean productivity under different climate change scenario was observed.
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