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公开(公告)号:US20240028957A1
公开(公告)日:2024-01-25
申请号:US18209080
申请日:2023-06-13
Applicant: Tata Consultancy Services Limited
Inventor: Jayantrao MOHITE , Suryakant Ashok SAWANT , Rishabh AGARWAL , Ankur PANDIT , Srinivasu PAPPULA
Abstract: This disclosure relates to methods and systems for high resolution and scalable crop yield forecasting by first developing a first crop yield forecasting model to generate coarse resolution yield maps and further dynamically selecting a set of pixels from the coarse resolution yield maps. The coarse resolution yield maps, satellite, weather and soil related data are fed as input to a second crop yield forecasting to generate high resolution crop yield forecasting maps. Further, domain knowledge about crop growth stages, economically important crop growth stages and weather based triggers are identified to quantify extent of change in crop yield. This helps in crop yield forecasting during real time adverse weather conditions. Finally, an adjusted crop yield model is obtained after adjusting losses incurred due to the real time adverse weather conditions to obtain accurate high resolution crop yield forecasting maps. The method of present disclosure is inexpensive, light-weight, and scalable.