Improved YOLOv8 for multi-colored apple fruit instance segmentation and 3D localization

Robotic apple harvesting requires precise instance segmentation and 3D localization, especially for multi-colored apples under complex orchard conditions with occlusions and variable lighting. Current deep learning methods lack robustness and accuracy for such scenarios, limiting automation. This st...

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Detalhes bibliográficos

Principais autores:	Jiaren Zhou, Mengyan Chen, Man Zhang, Zhao Zhang, Yao Zhang, Minjuan Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	KeAi Communications Co., Ltd. 2026-03-01
Colecção:	Artificial Intelligence in Agriculture
Assuntos:	Apple fruit Instance segmentation 3D localization YOLOv8 model improvement
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S2589721725000935
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