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Design and comparative study of genetic algorithm optimized SVM (Support Vector Machines) configurations to classify crop/weed using shape/color features

This research work seeks to optimise classifiers to identify several types of weeds namely mixed Monocotyledon weeds , Agerantum Conyzoides (AGECO), Borreris Repens (BOIRE) and Brassica Juncea (BRSJU) for an selective automatic robotic sprayer. Tuning the parameters and selecting the feature for SVM...

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Bibliographic Details
Main Authors:	WK Wong, Muralindran Mariappan, Ali Chekima
Format:	Article
Language:	English
Published:	2015
Subjects:	QA Mathematics
Online Access:	https://eprints.ums.edu.my/id/eprint/15350/1/Design_and_Comparative_Study_of_Genetic_Algorithm_Optimized_SVM.pdf https://eprints.ums.edu.my/id/eprint/15350/
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