Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping

Pound, MP, Atkinson, JA, Townsend, AJ et al. (9 more authors) (2017) Deep Machine Learning provides state-of-the-art performance in image-based plant phenotyping. GigaScience, 6 (10). gix083. pp. 1-10. ISSN 2047-217X

Abstract

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Authors/Creators:
Copyright, Publisher and Additional Information: © The Authors 2017. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Keywords: Phenotyping, deep learning, root, shoot, QTL, image analysis
Dates:
  • Published: 1 October 2017
  • Accepted: 19 August 2017
  • Published (online): 23 August 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biology (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 27 Sep 2017 10:48
Last Modified: 14 Jul 2018 02:58
Status: Published
Publisher: Oxford University Press
Identification Number: https://doi.org/10.1093/gigascience/gix083

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