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Crop 3D a LiDAR based platform for 3D high-throughput crop phenotyping 被引量:18
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作者 Qinghua Guo Fangfang Wu +8 位作者 Shuxin Pang Xiaoqian Zhao Linhai Chen Jin Liu baolin xue Guangcai Xu Le Li Haichun Jing Chengcai Chu 《Science China(Life Sciences)》 SCIE CAS CSCD 2018年第3期328-339,共12页
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 bree... 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(3 D) 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 3 D, which integrated LiDAR sensor, high-resolution camera, thermal camera and hyperspectral imager. Compared with traditional crop phenotyping techniques, Crop 3 D 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 3 D 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. 展开更多
关键词 crop breeding phenotypic traits data fusion LIDAR HIGH-THROUGHPUT integrated platform
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