Self-supervised learning boosts soybean disease detection from UAV hyperspectral imagery — new paper in Remote Sensing

New paper out: "Self-Supervised Learning for Soybean Disease Detection Using UAV Hyperspectral Imagery", published in Remote Sensing (17(23), 3928).

With M. Rahaman, V. Sagan, H. Alifu, C. Gul, H. Aliakbarpour, and collaborators, we show how self-supervised pretraining improves disease detection when labeled hyperspectral data is scarce. [Paper link]