Lightweight tomato ripeness detection algorithm based on the improved RT-DETR

Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness identification and selective harvesting of mature fruits to significantly enhance the efficiency and economic benefits of tomato harvesting management. Previous studies on intelligent harvesting often focused s...

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Autores principales:	Sen Wang, Huiping Jiang, Jixiang Yang, Xuan Ma, Jiamin Chen, Zhongjie Li, Xingqun Tang
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2024-07-01
Colección:	Frontiers in Plant Science
Materias:	tomato ripeness recognition deep learning RT-DETR PConv deformable attention
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fpls.2024.1415297/full
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