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.

Full text not available from this repository. (Request a copy)

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 (former - to 2025) Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory (former - to 2025) Faculty of Science > Research Groups > Data Science and AI
Related URLs:	http://www.tara.tcd.ie/handle/2262/71411
Depositing User:	Pure Connector
Date Deposited:	15 Nov 2016 15:00
Last Modified:	18 Jun 2026 21:54
URI:	https://ueaeprints.uea.ac.uk/id/eprint/61353
DOI:

Actions (login required)

View Item