Effects of different mixtures of features, colours and SVM kernels on wheat disease classification

Siricharoen, Punnarai, Scotney, Bryan, Morrow, Philip, Parr, Gerard ORCID: https://orcid.org/0000-0002-9365-9132, Gibson, David and Canagarajah, Nishan (2014) Effects of different mixtures of features, colours and SVM kernels on wheat disease classification. In: Irish Machine Vision and Image Processing (IMVIP) 2014 conference proceedings. UNSPECIFIED, pp. 43-48.

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Item Type: Book Section
Additional Information: Available under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Smart Emerging Technologies
Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Faculty of Science > Research Groups > Data Science and AI
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Depositing User: Pure Connector
Date Deposited: 15 Nov 2016 15:00
Last Modified: 10 Dec 2024 01:11
URI: https://ueaeprints.uea.ac.uk/id/eprint/61353
DOI:

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