Contrastive analysis of rice grain classification techniques: multi-class support vector machine vs artificial neural network
Rice is a staple food for 80% of the population in Southeast Asia. Thus, the quality control and classification of rice grain are crucial for more productive and sustainable production. This paper examines the contrastive analysis of rice grain classification performance between multi-class support...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Institute of Advanced Engineering and Science
2020
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| Subjects: | |
| Online Access: | https://umpir.ump.edu.my/id/eprint/46117/1/Contrastive%20analysis%20of%20rice%20grain%20classification%20techniques.pdf http://doi.org/10.11591/ijai.v9.i4.pp616-622 https://umpir.ump.edu.my/id/eprint/46117/ |
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