Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach

Empirical Evaluation of Deep Learning Techniques for Fish Disease Detection in Aquaculture Systems: A Transfer Learning and Fusion-Based Approach

In aquatic environments, the health of fish populations is crucial for maintaining ecological balance and sustaining aquaculture industries. Timely and accurately detecting fish diseases is paramount for effective management and mitigation strategies. This paper presents a novel approach for fish di...

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Bibliographic Details
Main Authors: Subir Biswas, Debendra Muduli, Md Ariful Islam, Anuradha Shantanu Kanade, Abu Taha Zamani, Shantanu Pandurang Kanade, Nikhat Parveen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Aquaculture
VGG-16
MobileNet-V2
SVM
Online Access:https://ieeexplore.ieee.org/document/10759657/

Internet

https://ieeexplore.ieee.org/document/10759657/

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