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

doi:10.1007/s11427-017-9056-0

	Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping
	Guo, Qinghua; Wu, Fangfang 1; Pang, Shuxin ; Zhao, Xiaoqian 1; Chen, Linhai 1; Liu, Jin ; Xue, Baolin ; Xu, Guangcai ; Li, Le 2; Jing, Haichun; Chu, Chengcai 3
	2018
发表期刊	SCIENCE CHINA-LIFE SCIENCES
ISSN	1674-7305
卷号	61 期号:3 页码:328-339
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.
关键词	crop breeding phenotypic traits data fusion LiDAR high-throughput integrated platform
学科领域	Biology
DOI	10.1007/s11427-017-9056-0
收录类别	SCI
语种	英语
WOS关键词	PORTABLE SCANNING LIDAR ; WHEAT CANOPY ; PLANT ; PHENOMICS ; RICE ; PARAMETERS ; DENSITY ; SYSTEM
WOS记录号	WOS:000427418000007
出版者	SCIENCE PRESS
文献子类	Article
出版地	BEIJING
EISSN	1869-1889
资助机构	Strategic Program of Molecular Module-Based Designer Breeding Systems [XDA08040107] ; Instrument Developing Project of the Chinese Academy of Sciences [2014129]
作者邮箱	qguo@ibcas.ac.cn
作品OA属性	Bronze
引用统计	被引频次：58[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/20564
专题	植被与环境变化国家重点实验室
作者单位	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
推荐引用方式 GB/T 7714	Guo, Qinghua,Wu, Fangfang,Pang, Shuxin,et al. Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping[J]. SCIENCE CHINA-LIFE SCIENCES,2018,61(3):328-339.
APA	Guo, Qinghua.,Wu, Fangfang.,Pang, Shuxin.,Zhao, Xiaoqian.,Chen, Linhai.,...&Chu, Chengcai.(2018).Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping.SCIENCE CHINA-LIFE SCIENCES,61(3),328-339.
MLA	Guo, Qinghua,et al."Crop 3D-a LiDAR based platform for 3D high-throughput crop phenotyping".SCIENCE CHINA-LIFE SCIENCES 61.3(2018):328-339.

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