crossrefGeomatics2024-06-28Cited by 16
Assessing Maize Yield Spatiotemporal Variability Using Unmanned Aerial Vehicles and Machine Learning
Colette de Villiers, Zinhle Mashaba-Munghemezulu, Cilence Munghemezulu, George J. Chirima, Solomon G. Tesfamichael
Optimizing the prediction of maize (Zea mays L.) yields in smallholder farming systems enhances crop management and thus contributes to reducing hunger and achieving one of the Sustainable Development Goals (SDG 2—zero hunger). This research investigated the capability of unmanne…