Plant phenomics:: history, present status and challenges
Plant phenomics:: history, present status and challenges
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DOI：
10.7685/jnau.201805100
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发表时间：
2018-07
影响因子：
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通讯作者：
Ji Zhou;F. Tardieu;T. Pridmore;J. Doonan;Daniel Reynolds;Neil Hall;S. Griffiths;T. Cheng;Yan Zhu;Xiuyi Wang;Dong Jiang;Yanfeng Ding
中科院分区：
文献类型：
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作者：
Ji Zhou;F. Tardieu;T. Pridmore;J. Doonan;Daniel Reynolds;Neil Hall;S. Griffiths;T. Cheng;Yan Zhu;Xiuyi Wang;Dong Jiang;Yanfeng Ding
近年来，随着遥感、机器人、计算机视觉和人工智能等技术的发展，植物表型组学研究得到了迅速发展。本文首先简要介绍了这一研究领域的发展历史，包括理论基础、研究方法、生物学应用以及最新进展。然后，我们介绍了一些重要的室内和室外表型分析方法，如手持设备，地面手动和自动车辆，机器人系统，基于物联网（IoT）的分布式平台，自动深度表型分析系统和大规模航空表型分析，以及它们在应用中的优点和缺点。为了从表型分析过程中生成的基于图像和传感器的大数据集中提取有意义的信息，我们还指定了关键的表型分析方法和相关的开发程序。最后，对植物表型组学的发展前景进行了展望，并对如何将这一研究领域应用于我国的育种、栽培和农业实践提出了建议。
With the development of remote sensing, robotics, computer vision and artificial intelligence, plant phenomics research has been developing rapidly in recent years. Here, we first introduced a concise history of this research domain, including the theoretical foundation, research methods, biological applications, and the latest progress. Then, we introduced some important indoor and outdoor phenotyping approaches such as handheld devices, ground-based manual and automated vehicles, robotic systems, Internet of Things(IoT)based distributed platforms, automatic deep phenotyping systems, and large-scale aerial phenotyping, together with their advantages and disadvantages during the applications. In order to extract meaningful information from big image-and sensor-based datasets generated by the phenotyping process, we also specified key phenotypic analysis methods and related development procedures. Finally, we discussed the future perspective of plant phenomics, with recommendations of how to apply this research field to breeding, cultivation and agricultural practices in China.