A Method for Identifying Picking Points in Safflower Point Clouds Based on an Improved PointNet++ Network

To address the challenge of precise picking point localization in morphologically diverse safflower plants, this study proposes PointSafNet—a novel three-stage 3D point cloud analysis framework with distinct architectural and methodological innovations. In Stage I, we introduce a multi-view reconstr...

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Detalhes bibliográficos

Principais autores:	Baojian Ma, Hao Xia, Yun Ge, He Zhang, Zhenghao Wu, Min Li, Dongyun Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-05-01
coleção:	Agronomy
Assuntos:	safflower picking point 3D point cloud deep learning harvesting robots
Acesso em linha:	https://www.mdpi.com/2073-4395/15/5/1125
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