An occluded cherry tomato recognition model based on improved YOLOv7

The typical occlusion of cherry tomatoes in the natural environment is one of the most critical factors affecting the accurate picking of cherry tomato picking robots. To recognize occluded cherry tomatoes accurately and efficiently using deep convolutional neural networks, a new occluded cherry tom...

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Detalles Bibliográficos
Autores principales: Hou, Guangyu, Chen, Haihua, Ma, Yike, Jiang, Mingkun, Hua, Chen, Jiang, Chunmao, Niu, Runxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Plant Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625446/
https://www.ncbi.nlm.nih.gov/pubmed/37929164
http://dx.doi.org/10.3389/fpls.2023.1260808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10625446/
https://www.ncbi.nlm.nih.gov/pubmed/37929164
http://dx.doi.org/10.3389/fpls.2023.1260808

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