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Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar

Effective detection of diseases in aquaculture is important for maintaining fish populations and encouraging appropriate practices. Traditional approaches frequently depend on visual inspection without any tools which can be difficult in terms of precision and productivity. This study presents a fis...

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Main Author: Azahar, Nur Adriana Qaisara
Format: Thesis
Language:English
Published: 2024
Subjects:
Neural networks (Computer science)
Online Access:https://ir.uitm.edu.my/id/eprint/96037/1/96037.pdf
https://ir.uitm.edu.my/id/eprint/96037/
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spelling my.uitm.ir.960372024-05-28T15:34:17Z https://ir.uitm.edu.my/id/eprint/96037/ Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar Azahar, Nur Adriana Qaisara Neural networks (Computer science) Effective detection of diseases in aquaculture is important for maintaining fish populations and encouraging appropriate practices. Traditional approaches frequently depend on visual inspection without any tools which can be difficult in terms of precision and productivity. This study presents a fish detection system that uses Convolutional Neural Networks (CNNs) and advanced image processing techniques, with a flexible research approach directing the iterative development process. The CNN model, chosen by algorithmic analysis, shows an impressive accuracy of 90% in automatically recognizing and diagnosing different fish diseases. By being trained on several datasets, the model can identify important features from images of fish. A program that is easy to use is then created for aquaculture professionals, allowing for quick and accurate disease diagnosis. This method represents a notable advancement in utilizing machine learning for disease control in aquaculture, surpassing the limitations of manual observation and contributing to the sustainable future of fish farming industries. 2024 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/96037/1/96037.pdf Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar. (2024) Degree thesis, thesis, Universiti Teknologi MARA, Terengganu.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Neural networks (Computer science)
spellingShingle Neural networks (Computer science)
Azahar, Nur Adriana Qaisara
Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
description Effective detection of diseases in aquaculture is important for maintaining fish populations and encouraging appropriate practices. Traditional approaches frequently depend on visual inspection without any tools which can be difficult in terms of precision and productivity. This study presents a fish detection system that uses Convolutional Neural Networks (CNNs) and advanced image processing techniques, with a flexible research approach directing the iterative development process. The CNN model, chosen by algorithmic analysis, shows an impressive accuracy of 90% in automatically recognizing and diagnosing different fish diseases. By being trained on several datasets, the model can identify important features from images of fish. A program that is easy to use is then created for aquaculture professionals, allowing for quick and accurate disease diagnosis. This method represents a notable advancement in utilizing machine learning for disease control in aquaculture, surpassing the limitations of manual observation and contributing to the sustainable future of fish farming industries.
format Thesis
author Azahar, Nur Adriana Qaisara
author_facet Azahar, Nur Adriana Qaisara
author_sort Azahar, Nur Adriana Qaisara
title Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
title_short Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
title_full Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
title_fullStr Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
title_full_unstemmed Fish disease detection using Convolutional Neural Network (CNN) / Nur Adriana Qaisara Azahar
title_sort fish disease detection using convolutional neural network (cnn) / nur adriana qaisara azahar
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/96037/1/96037.pdf
https://ir.uitm.edu.my/id/eprint/96037/
_version_ 1800726644334264320
score 13.211869

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