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Crop 3D—a LiDAR based platform for 3D high-throughput crop phenotyping

Authors :
Guo, Qinghua
Wu, Fangfang
Pang, Shuxin
Zhao, Xiaoqian
Chen, Linhai
Liu, Jin
Xue, Baolin
Xu, Guangcai
Li, Le
Jing, Haichun
Chu, Chengcai
Source :
SCIENCE CHINA Life Sciences; March 2018, Vol. 61 Issue: 3 p328-339, 12p
Publication Year :
2018

Abstract

With the growing population and the reducing arable land, breeding has been considered as an effective way to solve the food crisis. As an important part in breeding, high-throughput phenotyping can accelerate the breeding process effectively. Light detection and ranging (LiDAR) is an active remote sensing technology that is capable of acquiring three-dimensional (3D) data accurately, and has a great potential in crop phenotyping. Given that crop phenotyping based on LiDAR technology is not common in China, we developed a high-throughput crop phenotyping platform, named Crop 3D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager. Compared with traditional crop phenotyping techniques, Crop 3D can acquire multi-source phenotypic data in the whole crop growing period and extract plant height, plant width, leaf length, leaf width, leaf area, leaf inclination angle and other parameters for plant biology and genomics analysis. In this paper, we described the designs, functions and testing results of the Crop 3D platform, and briefly discussed the potential applications and future development of the platform in phenotyping. We concluded that platforms integrating LiDAR and traditional remote sensing techniques might be the future trend of crop high-throughput phenotyping.

Details

Language :
English
ISSN :
16747305 and 18691889
Volume :
61
Issue :
3
Database :
Supplemental Index
Journal :
SCIENCE CHINA Life Sciences
Publication Type :
Periodical
Accession number :
ejs42559607
Full Text :
https://doi.org/10.1007/s11427-017-9056-0