首页|期刊导航|植物表型组学(英文)|Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery
植物表型组学(英文)2026,Vol.8Issue(1):17-31,15.DOI:10.1016/j.plaphe.2025.100133
Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery
Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery
摘要
关键词
Deep Learning/Computer Vision,YOLO,Faster-RCNN/Unmanned Aerial Systems(UAS)Imagery/Extracting Yield Features/Sorghum Yield Prediction using Machine/LearningKey words
Deep Learning/Computer Vision,YOLO,Faster-RCNN/Unmanned Aerial Systems(UAS)Imagery/Extracting Yield Features/Sorghum Yield Prediction using Machine/Learning引用本文复制引用
Md.Abdullah Al Bari,Aliva Bakshi,Jahid Chowdhury Choton,Swaraj Pramanik,Trevor D.Witt,Doina Caragea,Scott Bean,S.V.Krishna Jagadish,Terry Felderhoff..Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery[J].植物表型组学(英文),2026,8(1):17-31,15.基金项目
This project was funded by the United Sorghum Checkoff Program,Award#CI005-22. ()