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

文献类型：期刊论文

作者Guo, Qinghua; Wu, Fangfang4; Pang, Shuxin; Zhao, Xiaoqian4; Chen, Linhai4; Liu, Jin; Xue, Baolin; Xu, Guangcai; Li, Le2; Jing, Haichun
刊名SCIENCE CHINA-LIFE SCIENCES
出版日期2018
卷号61期号:3页码:328-339
关键词crop breeding phenotypic traits data fusion LiDAR high-throughput integrated platform
ISSN号1674-7305
DOI10.1007/s11427-017-9056-0
文献子类Article
英文摘要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.
学科主题Biology
出版地BEIJING
电子版国际标准刊号1869-1889
WOS关键词PORTABLE SCANNING LIDAR ; WHEAT CANOPY ; PLANT ; PHENOMICS ; RICE ; PARAMETERS ; DENSITY ; SYSTEM
语种英语
WOS记录号WOS:000427418000007
出版者SCIENCE PRESS
资助机构Strategic Program of Molecular Module-Based Designer Breeding Systems [XDA08040107] ; Instrument Developing Project of the Chinese Academy of Sciences [2014129]
源URL[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.Beijing Normal Univ, Coll Life Sci & Technol, Beijing 100875, Peoples R China
2.Univ Chinese Acad Sci, Beijing 000049, Peoples R China
3.Chinese Acad Sci, Inst Genet & Dev Biol, State Key Lab Plant Genom, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, 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.

入库方式： OAI收割

来源：植物研究所

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