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.
Keywords: phenomics; multi-scale phenotyping; remote sensing; robotics; imaging; IoT; artificial intelligence; high-throughput traits analyses
ZHOU Ji1,2,3*, Francois TARDIEU4, Tony PRIDMORE5, John DOONAN6, Daniel Reynolds2, Neil Hall2, Simon GRIFFITHS7, CHENG Tao1, ZHU Yan1, WANG Xiu'e1 , JIANG Dong 1, DING Yanfeng1
(1. Plant Phenomics Research Center, Nanjing Agricultural University, Nanjing 210095, China; 2. Earlham Institute, Norwich Research Park, Norwich UK, NR4 7UZ; 3. University of East Anglia, Norwich Research Park, Norwich UK, NR4 7TJ; 4. INRA Univ Montpellier, LEPSE, 2 place Viala 34060 Montpellier France; 5. University of Nottingham, Nottingham UK, NG7 2RD; 6. Aberystwyth University, IBERS, Aberystwyth UK, SY23 3DA; 7. John Innes Centre, Norwich Research Park, Norwich UK, NR4 7UH)
Link to the article: http://html.rhhz.net/njnydxxb/201804002.htm
