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Deep learning for sorghum yield forecasting using uncrewed aerial systems and lab-derived imagery

Md.Abdullah Al Bari Aliva Bakshi Jahid Chowdhury Choton Swaraj Pramanik Trevor D.Witt Doina Caragea Scott Bean S.V.Krishna Jagadish Terry Felderhoff

植物表型组学(英文)2026,Vol.8Issue(1):17-31,15.
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

Md.Abdullah Al Bari 1Aliva Bakshi 2Jahid Chowdhury Choton 2Swaraj Pramanik 2Trevor D.Witt 3Doina Caragea 2Scott Bean 4S.V.Krishna Jagadish 5Terry Felderhoff6

作者信息

  • 1. Department of Agronomy,Kansas State University,Manhattan,KS,66506,USA||Department of Plant and Environmental Sciences,New Mexico State University,Las Cruces,NM,88003,USA
  • 2. Department of Computer Science,Kansas State University,Manhattan,KS,66506,USA
  • 3. Department of Entomology,Kansas State University,Manhattan,KS,66506,USA
  • 4. Center for Grain and Animal Health Research,ARS-USDA,Manhattan,KS,66506,USA
  • 5. Department of Plant and Soil Science,Texas Tech University,Lubbock,TX,79409,USA
  • 6. Department of Agronomy,Kansas State University,Manhattan,KS,66506,USA
  • 折叠

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/Learning

Key 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. ()

植物表型组学(英文)

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