Maize stem–leaf segmentation framework based on deformable point clouds

Author:

Yang Xin,Miao Teng,Tian Xueying,Wang Dabao,Zhao Jianxiang,Lin Lili,Zhu Chao,Yang Tao,Xu Tongyu

Funder

Liaoning Provincial Natural Science Foundation

National Key Research and Development Program of China

Key Technologies Research and Development Program

Publisher

Elsevier BV

Reference44 articles.

1. Automatic segmentation of stem and leaf components and individual maize plants in field terrestrial LiDAR data using convolutional neural networks;Ao;The Crop Journal, Crop Phenotyping Studies with Application to Crop Monitoring,2022

2. Boosting plant-part segmentation of cucumber plants by enriching incomplete 3D point clouds with spectral data;Boogaard;Biosystems Engineering,2021

3. PointNet: deep Learning on point sets for 3D classification and segmentation;Charles,2017

4. Skeletonization of plant point cloud data using stochastic optimization framework;Chaudhury;Front. Plant Sci.,2020

5. Hierarchical Aggregation for 3D Instance Segmentation;Chen,2021

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