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Zhou, Ji 
ORCID: https://orcid.org/0000-0002-5752-5524, Tardieu, Francois, Pridmore, Tony, Doonan, John, Reynolds, Daniel, Hall, Neil ORCID: https://orcid.org/0000-0003-2808-0009, Griffiths, Simon, Cheng, Tao, Zhu, Yan, Wang, Xiuyi, Jiang, Dong and Ding, Yanfeng
(2018)
Plant phenomics: history, present status and challenges.
Journal of Nanjing Agricultural University, 41 (4).
pp. 580-588.
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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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | internet of things(iot),artificial intelligence,multi-scale phenotyping,phenomics,remote sensing,imaging,robotics,sdg 2 - zero hunger ,/dk/atira/pure/sustainabledevelopmentgoals/zero_hunger |
| Faculty \ School: | Faculty of Science > School of Computing Sciences Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 16 Aug 2018 12:30 |
| Last Modified: | 24 May 2023 03:25 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/68073 |
| DOI: | 10.7685/jnau.201805100 |
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