State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, 100093, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci China Life Sci. 2018 Mar;61(3):328-339. doi: 10.1007/s11427-017-9056-0. Epub 2017 Dec 6.
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.
随着人口的增长和可耕地的减少，培育已被认为是解决粮食危机的有效途径。作为培育的重要组成部分，高通量表型分析可以有效地加速培育过程。激光雷达（LiDAR）是一种主动遥感技术，能够准确地获取三维（3D）数据，在作物表型分析方面具有很大的潜力。鉴于基于 LiDAR 技术的作物表型分析在中国并不常见，我们开发了一种高通量作物表型分析平台，命名为 Crop 3D，它集成了 LiDAR 传感器、高分辨率相机、热像仪和高光谱成像仪。与传统的作物表型分析技术相比，Crop 3D 可以在整个作物生长期间获取多源表型数据，并提取植物高度、植物宽度、叶片长度、叶片宽度、叶面积、叶片倾斜角等参数，用于植物生物学和基因组学分析。本文介绍了 Crop 3D 平台的设计、功能和测试结果，并简要讨论了该平台在表型分析中的潜在应用和未来发展。我们得出结论，集成 LiDAR 和传统遥感技术的平台可能是作物高通量表型分析的未来趋势。
