Performance evaluation of YOLO v5 model for automatic crop and weed classification on UAV images

Performance evaluation of YOLO v5 model for automatic crop and weed classification on UAV images

For sustainability and efficiency in maintaining high crop yield and less chemically polluted agricultural lands, precise weed mapping is essential for the total implementation of site-specific weed management which currently stands as a major challenge in present day agriculture. In this research,...

Full description

Bibliographic Details
Main Authors: Oluibukun Gbenga Ajayi, John Ashi, Blessed Guda
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Smart Agricultural Technology
Subjects:
Weeds
Convolutional neural networks
Deep learning
Precision agriculture
Object detection
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523000618

Internet

http://www.sciencedirect.com/science/article/pii/S2772375523000618

Similar Items