Dragon fruit detection in natural orchard environment by integrating lightweight network and attention mechanism

An improved lightweight network (Improved YOLOv5s) was proposed based on YOLOv5s in this study to realise all-weather detection of dragon fruit in a complex orchard environment. A ghost module was introduced in the original YOLOv5s to realise the lightweight of the model. The coordinate attention me...

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Detalles Bibliográficos
Autores principales: Zhang, Bin, Wang, Rongrong, Zhang, Huiming, Yin, Chenghai, Xia, Yuyang, Fu, Meng, Fu, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632628/
https://www.ncbi.nlm.nih.gov/pubmed/36340417
http://dx.doi.org/10.3389/fpls.2022.1040923

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632628/
https://www.ncbi.nlm.nih.gov/pubmed/36340417
http://dx.doi.org/10.3389/fpls.2022.1040923

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