Modern Computer Vision for Oil Palm Tree Health Surveillance using YOLOv5
Published in Green Energy Computing and Sustainable Technology (GECOST) International Conference, 2023
This work proposed YOLOv5 object detection model to improve the aerial surveillance on palm oil (Elaeis guinensis) health using Unmanned Aerial Vehicles (UAVs)
Access the paper here, IEEE Xplore
Cite as: Y. Nuwara, W. K. Wong and F. H. Juwono, “Modern Computer Vision for Oil Palm Tree Health Surveillance using YOLOv5,” 2022 International Conference on Green Energy, Computing and Sustainable Technology (GECOST), Miri Sarawak, Malaysia, 2022, pp. 404-409, doi: 10.1109/GECOST55694.2022.10010668.