Editorial: State-of-the-Art Technology and Applications in Crop Phenomics

Front Plant Sci. 2021 Oct 5:12:767324. doi: 10.3389/fpls.2021.767324. eCollection 2021.

Wanneng Yang^{1

2}, John H Doonan³, Malcolm J Hawkesford⁴, Tony Pridmore⁵, Ji Zhou^{6

7}

¹ National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, China.
² Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
³ The National Plant Phenomics Centre, Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom.
⁴ Rothamsted Research, Harpenden, United Kingdom.
⁵ School of Computer Science, University of Nottingham, Nottingham, United Kingdom.
⁶ Cambridge Crop Research, National Institute of Agricultural Botany, Cambridge, United Kingdom.
⁷ Academy for Advanced Interdisciplinary Studies, Jiangsu Collaborative Innovation Center for Modern Crop Production Co-sponsored by Province and Ministry, Nanjing Agricultural University, Nanjing, China.

No abstract available

Keywords: AI-driven phenotypic analysis; UAV (unmanned aerial vehicle); X-ray micro-CT; high-throughput phenotyping; hyperspectral.

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