Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape

Veys, C., Chatziavgerinos, F., AlSuwaidi, A. et al. (7 more authors) (2019) Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape. Plant Methods, 15. 4. ISSN 1746-4811

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Copyright, Publisher and Additional Information: © The Author(s) 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Keywords: Disease detection; Light leaf spot; Oilseed rape; Multispectral; Preprocessing; Machine learning; Support vector machine; Novelty detection; Orientation effects; Photometric stereo
Dates:
  • Accepted: 17 January 2019
  • Published (online): 24 January 2019
  • Published: 24 January 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Biological Sciences (Sheffield) > Department of Animal and Plant Sciences (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Mar 2019 16:31
Last Modified: 13 Mar 2019 05:12
Published Version: https://doi.org/10.1186/s13007-019-0389-9
Status: Published
Publisher: BMC
Refereed: Yes
Identification Number: https://doi.org/10.1186/s13007-019-0389-9
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