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

被引:68
|
作者
Guo, Qinghua [1 ]
Wu, Fangfang [1 ,2 ]
Pang, Shuxin [1 ]
Zhao, Xiaoqian [1 ,2 ]
Chen, Linhai [1 ,2 ]
Liu, Jin [1 ]
Xue, Baolin [1 ]
Xu, Guangcai [1 ]
Li, Le [3 ]
Jing, Haichun [1 ]
Chu, Chengcai [4 ]
机构
[1] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[2] Univ Chinese Acad Sci, Beijing 000049, Peoples R China
[3] Beijing Normal Univ, Coll Life Sci & Technol, Beijing 100875, Peoples R China
[4] Chinese Acad Sci, Inst Genet & Dev Biol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
关键词
crop breeding; phenotypic traits; data fusion; LiDAR; high-throughput; integrated platform; PORTABLE SCANNING LIDAR; WHEAT CANOPY; PLANT; PHENOMICS; RICE; PARAMETERS; DENSITY; SYSTEM;
D O I
10.1007/s11427-017-9056-0
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:328 / 339
页数:12
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