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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

Plant Phenomics2025，Vol.7Issue(1)：P.13-24,12.

Plant Phenomics2025，Vol.7Issue(1)：P.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

分类

农业科技

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].Plant Phenomics,2025,7(1):P.13-24,12.

基金项目

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

Plant Phenomics

ISSN：2097-0374

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