Tomato detection in natural environment based on improved YOLOv8 network
In this paper, an improved lightweight YOLOv8 method is proposed to detect the ripeness of tomato fruits, given the problems of subtle differences between neighboring stages of ripening and mutual occlusion of branches, leaves, and fruits. The method replaces the backbone network of the original YO...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PAGEPress Publications
2025-07-01
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| coleção: | Journal of Agricultural Engineering |
| Assuntos: | |
| Acesso em linha: | https://www.agroengineering.org/jae/article/view/1732 |
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