Paper Info
Title
Automated morphological traits extraction for sorghum plants via 3D point cloud data analysis
Abstract
•A system was developed by using a side-viewing Kinect – v2 for sorghum plants phenotyping.•The skeletonization algorithm can segment stems and individual leaves of sorghum plants with overlapping tillers.•The system-derived traits were found to have high correlations with the corresponding manual measurements.•The total leaf area and stem volume showed promising potential for biomass prediction.
Year
DOI
Venue
2019
10.1016/j.compag.2019.05.043
Computers and Electronics in Agriculture
Keywords
Field
DocType
3D point cloud data,Phenotyping,Plant morphology,Skeletonization,Sorghum
Computer vision,Biomass,Phenomics,Shoot,Biological system,Vertical direction,Slicing,Skeletonization,Artificial intelligence,Engineering,Point cloud,Sorghum
Journal
Volume
ISSN
Citations 
162
0168-1699
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Lirong Xiang101.01
Yin Bao200.68
Lie Tang3578.21
Diego Ortiz400.34
Maria G. Salas-Fernandez500.34