Malaysian Journal of Mathematical Sciences, February 2017, Vol. 11(S)
Special Issue: Conference on Agriculture Statistics 2015 (CAS 2015)
Multi-class Support Vector Machine Application in the Field of Agriculture and Poultry: A Review
Nurhanna, A. A. and Othman, M. F.
Corresponding Email: nurhanna.aziz@gmail.com
Received date: -
Accepted date: -
Abstract:
This paper discusses and surveys the implementation of multiclass support vector machine algorithms in the field of agriculture and poultry.
It presents the most common algorithms that have been deployed in the context of farming, which is then described and categorised depending on their properties. We summarize the method used, their performance and accuracy to facilitate the process of choosing the best method for agriculture area, which involves other areas of interest.
Keywords: multiclass support vector machine, agriculture
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