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 R. Bean, S. V. Krishna Jagadish, Terry J. Felderhoff
This paper uses deep learning models to detect sorghum panicles from aerial and lab images, improving yield prediction through machine learning regression.
Plant Phenomics · Dec 12, 2025Peer-reviewedPlant Biology