Enhancing Disease Detection in the Aquaculture Sector Using Convolutional Neural Networks Analysis

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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Bibliographic Details
Main Authors: Hayin Tamut, Robin Ghosh, Kamal Gosh, Md Abdus Salam Siddique
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Aquaculture Journal
Subjects:
aquaculture
convolutional neural networks (CNN)
disease detection
freshwater fish
image classification
deep learning
Online Access:https://www.mdpi.com/2673-9496/5/1/6
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