| Literature DB >> 28616808 |
Qinghua Guo1, Fangfang Wu2,3, Shuxin Pang2, Xiaoqian Zhao2,3, Linhai Chen2,3, Jin Liu2, Baolin Xue2, Guangcai Xu2, Le Li4, Haichun Jing2, Chengcai Chu5.
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.Keywords: LiDAR; crop breeding; data fusion; high-throughput; integrated platform; phenotypic traits
Mesh:
Year: 2017 PMID: 28616808 DOI: 10.1007/s11427-017-9056-0
Source DB: PubMed Journal: Sci China Life Sci ISSN: 1674-7305 Impact factor: 6.038