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3D-NOD:3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework

Dawei Li Foysal Ahmed Zhanjiang Wang

植物表型组学（英文）2025，Vol.7Issue(1)：13-24,12.

植物表型组学（英文）2025，Vol.7Issue(1)：13-24,12.DOI:10.1016/j.plaphe.2025.100002

3D-NOD:3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework

Dawei Li ¹Foysal Ahmed ²Zhanjiang Wang²

作者信息

1. College of Information Sciences and Technology,Donghua University,Shanghai,201620,China||State Key Laboratory of Advanced Fiber Materials(SKLAFM),Donghua University,Shanghai,201620,China||Engineering Research Center of Digitized Textile & Fashion Technology,Ministry of Education,Donghua University,Shanghai,201620,China
2. College of Information Sciences and Technology,Donghua University,Shanghai,201620,China
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摘要

关键词

3D semantic segmentation/Growth event detection/Point cloud registration/Plant phenotyping/Deep neural network

Key words

3D semantic segmentation/Growth event detection/Point cloud registration/Plant phenotyping/Deep neural network

引用本文复制引用

Dawei Li,Foysal Ahmed,Zhanjiang Wang..3D-NOD:3D new organ detection in plant growth by a spatiotemporal point cloud deep segmentation framework[J].植物表型组学（英文）,2025,7(1):13-24,12.

基金项目

This work was supported by the self-collected funds from Dawei Li. （）

植物表型组学（英文）

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