Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis
The expansion of aquaculture necessitates innovative disease detection methods to ensure sustainable production. Fish diseases caused by bacteria, viruses, fungi, and parasites result in significant economic losses and threaten food security. Traditional detection methods are labor-intensive and tim...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Aquaculture Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2673-9496/5/1/6 |
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