Evaluating Soybean Yield Using Multi - Model Ensembles in Osmanabad District (Kharif - 2023)

during the Kharif -2023 season. The methodology outlined in the YESTECH manual, under the Pradhan Mantri Fasal Bima Yojana (PMFBY), was diligently followed. Osmanabad district has been experiencing significant weatherbased yield losses in recent years. This case study aimed to estimate the yield of soybean crops for agricultural stakeholders, insurance companies, and government policies at the Revenue Circle level (RC). A multimodal approach was adopted over a singlemodel yield estimation approach to ensure the ensemble yield for precise forecasting/estimating of crop yield. The accuracy achieved was within a certain percentage, with Root Mean Square Error (RMSE) measured was less than ±30% at the RC level. Consequently, the overall findings suggest that employing such models for yield estimation represents one of the best approaches for decisionmaking among insurance stakeholders, particularly in rainfed regionswhere adverse impacts on soybean productivity have been observed under various climate change scenarios.