Detection of Green Asparagus in Complex Environments Based on the Improved YOLOv5 Algorithm

An improved YOLOv5 algorithm for the efficient recognition and detection of asparagus with a high accuracy in complex environments was proposed in this study to realize the intelligent machine harvesting of green asparagus. The coordinate attention (CA) mechanism was added to the backbone feature ex...

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Detalles Bibliográficos
Autores principales: Hong, Weiwei, Ma, Zenghong, Ye, Bingliang, Yu, Gaohong, Tang, Tao, Zheng, Mingfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921816/
https://www.ncbi.nlm.nih.gov/pubmed/36772602
http://dx.doi.org/10.3390/s23031562

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921816/
https://www.ncbi.nlm.nih.gov/pubmed/36772602
http://dx.doi.org/10.3390/s23031562

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