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3D skeletonization and phenotyping for soybean root system architecture using a bio-inspired algorithm

delete2025-09-23
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AI
X
Xue-hai Zhou
T
Tianzi Yang
R
Rui Xu
A
Alexander Bucksch
P
Pierre Dutilleul
D
Davoud Torkamaneh
S
Shangpeng Sun *
DOI:10.1016/j.compag.2025.110890delete
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Abstract

Abstract

En 中文
• Starting point detection algorithm ensures precise lateral root segmentation. • Adaptive pathfinding retrieves artifact-free skeletons from 3D root systems. • Combination sorting resolves overlapping lateral root paths. • Neighbor queries on skeletons allow point-wise lateral root segmentation. • Segmented skeletons and meshes enable accurate trait measurements.
Keywords:
Plant phenotyping
3D point cloud analysis
Adaptive path tracking
Root system segmentation
Individual root extraction
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Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
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University of Arizona
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McGill University
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Université Laval
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