Instance Segmentation of Tea Garden Roads Based on an Improved YOLOv8n-seg Model

In order to improve the efficiency of fine segmentation and obstacle removal in the road of tea plantation in hilly areas, a lightweight and high-precision DR-YOLO instance segmentation algorithm is proposed to realize environment awareness. Firstly, the road data of tea gardens in hilly areas were...

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Autors principals:	Weibin Wu, Zhaokai He, Junlin Li, Tianci Chen, Qing Luo, Yuanqiang Luo, Weihui Wu, Zhenbang Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-07-01
Col·lecció:	Agriculture
Matèries:	road segmentation YOLOv8-seg model model structure optimization model compression edge–side deployment
Accés en línia:	https://www.mdpi.com/2077-0472/14/7/1163
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