Ji Zhou, F. Tardieu, T. Pridmore, J. Doonan, Daniel Reynolds, Neil Hall, S. Griffiths, T. Cheng, Yan Zhu, Xiuyi Wang, Dong Jiang, Yanfeng Ding
{"title":"Plant phenomics:: history, present status and challenges","authors":"Ji Zhou, F. Tardieu, T. Pridmore, J. Doonan, Daniel Reynolds, Neil Hall, S. Griffiths, T. Cheng, Yan Zhu, Xiuyi Wang, Dong Jiang, Yanfeng Ding","doi":"10.7685/JNAU.201805100","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":16436,"journal":{"name":"南京农业大学学报","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2018-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"南京农业大学学报","FirstCategoryId":"1091","ListUrlMain":"https://doi.org/10.7685/JNAU.201805100","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 22
Abstract
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.
期刊介绍:
Journal of Nanjing Agricultural University is a peer-reviewed bimonthly journal reporting original research in the fields of agriculture and life sciences. Research areas include agricultural science, plant protection, horticulture, life science, food science and technology, veterinary medicine, animal science, environmental science, agroecology, engineering and related disciplines. The journal publishes original research articles mainly in Chinese, as well as some invited reviews, short communications and special issues, with English contents, abstracts, tables and figures. The layout of tables, figures and articles conforms to international standards.