This study investigates the automatic classification of crop phenological stages from low-altitude UAV RGB imagery. The dataset included 11,489 images of five crops: sunflower, rapeseed, soybean, wheat, and barley. The images were annotated using the Biologische Bundesanstalt, Bundessortenamt und Chemische Industrie (B...
R. Mukhamediev, V. Smurygin, Liudmila Gorodetskaya et al.· Drones· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.