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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| 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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