物候学
计算机科学
人工智能
数据科学
过程(计算)
领域(数学分析)
领域(数学)
机器人学
深度学习
物联网
比例(比率)
作者
Ji Zhou,François Tardieu,Tony P. Pridmore,John H. Doonan,Daniel Reynolds,Neil Hall,Simon Griffiths,Tao Cheng,Yan Zhu,Xiuyi Wang,Dong Jiang,Yanfeng Ding
出处
期刊:Journal of Nanjing Agricultural University
日期:2018-07-09
卷期号:41 (4): 580-588
被引量:7
标识
DOI:10.7685/jnau.201805100
摘要
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.
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