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Research Article

An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat

Tahani Alkhudaydi1,2, Daniel Reynolds3, Simon Griffiths4, Ji Zhou1,3,5, and Beatriz de la Iglesia1

1University of East Anglia, Norwich Research Park, Norwich NR4 7TJ, UK
2University of Tabuk, Faculty of Computers & IT, Tabuk 71491, Saudi Arabia
3Earlham Institute, Norwich Research Park, Norwich NR4 7UZ, UK
4John Innes Centre, Norwich Research Park, Norwich NR4 7UH, UK
5Plant Phenomics Research Center, China-UK Plant Phenomics Research Centre, Nanjing Agricultural University, Nanjing 210095, China
Correspondence should be addressed to Tahani Alkhudaydi; t.alkhudaydi@uea.ac.uk and Ji Zhou; ji.zhou@njau.edu.cn

How to Cite this Article

Tahani Alkhudaydi, Daniel Reynolds, Simon Griffiths, Ji Zhou, and Beatriz de la Iglesia, “An Exploration of Deep-Learning Based Phenotypic Analysis to Detect Spike Regions in Field Conditions for UK Bread Wheat,” Plant Phenomics, vol. 2019, Article ID 7368761, 17 pages, 2019. https://doi.org/10.34133/2019/7368761.

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