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Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++

Sifan Dong Xueyan Fan Xiuhua Li Yuming Liang Muqing Zhang Wei Yao Xiping Yang Zeping Wang

Plant Phenomics2025，Vol.7Issue(3)：P.23-35,13.

Plant Phenomics2025，Vol.7Issue(3)：P.23-35,13.DOI:10.1016/j.plaphe.2025.100065

Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++

Sifan Dong ¹Xueyan Fan ¹Xiuhua Li ²Yuming Liang ¹Muqing Zhang ³Wei Yao ³Xiping Yang ⁴Zeping Wang⁵

作者信息

1. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources,School of Electrical Engineering,Guangxi University,Nanning 530004,China
2. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources,School of Electrical Engineering,Guangxi University,Nanning 530004,China Guangxi Key Laboratory of Sugarcane Biology,Guangxi University,Nanning 530004,China
3. Guangxi Key Laboratory of Sugarcane Biology,Guangxi University,Nanning 530004,China State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources,College of Agriculture,Guangxi University,Nanning 530004,China
4. State Key Laboratory for Conservation and Utilization of Subtropical Agro-bioresources,College of Agriculture,Guangxi University,Nanning 530004,China
5. Sugarcane Research Institute,Guangxi Academy of Agricultural Sciences,Nanning 530007,China
折叠

摘要

关键词

Plant phenotyping/Point cloud/Organ segmentation/PointNeXt/Quickshift++

分类

信息技术与安全科学

引用本文复制引用

Sifan Dong,Xueyan Fan,Xiuhua Li,Yuming Liang,Muqing Zhang,Wei Yao,Xiping Yang,Zeping Wang..Automatic 3D Plant Organ Instance Segmentation Method Based on PointNeXt and Quickshift++[J].Plant Phenomics,2025,7(3):P.23-35,13.

基金项目

This work was supported by the Science Technology Major Project of Guangxi,China(Gui Ke Nong AB24153010,Gui Ke AA22117004) （Gui Ke Nong AB24153010,Gui Ke AA22117004）

the National Natural Science Foundation of China(31760342) （31760342）

the Innovation Project of Guangxi Graduate Education,YCSW2023028. （）

Plant Phenomics

ISSN：2097-0374

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