Predicting crop yields with plant fluorescence from satellite imagery
Published
Los Angeles CA (SPX) May 02, 2024
Researchers at Cornell University, along with their collaborators, have introduced a novel framework designed to predict agricultural yields using minimal data, a boon particularly for developing regions grappling with food insecurity and the impacts of climate change. Globally, the stability of crop yields has been undermined significantly by climate change, with a notable statistic from