EDIBLE FISH IDENTIFICATION BASED ON MACHINE LEARNING
Automated fish identification system has a beneficial role in various fields. Fish species can usually be identified based on visual observation and human experiences. False appreciation can cause food poisoning. The proposed system aims to efficiently and effectively identify edible fish from poiso...
| Main Authors: | , |
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| Format: | Article |
| Language: | Arabic |
| Published: |
University of Information Technology and Communications
2023-12-01
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| Series: | Iraqi Journal for Computers and Informatics |
| Subjects: | |
| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/455 |