Artificial Intelligence in marine technology: improving fishery management & biodiversity monitoring / Nor Aina Afrina Mohd Affandi ... [et al.]

Mohd Affandi, Nor Aina Afrina and Uzair, Nur Atiqah and Che Alias, Nurul Alia and Othman, Jamal (2025) Artificial Intelligence in marine technology: improving fishery management & biodiversity monitoring / Nor Aina Afrina Mohd Affandi ... [et al.]. Beyond Boundaries: The Multidimensional Horizons of E-Learning, 9. pp. 156-164. ISSN 9786299875550

Abstract

Image identification has been transformed by artificial intelligence (AI) and machine learning (ML), which are essential to marine technology. Using Convolutional Neural Networks (CNNs) for feature extraction, preprocessing, and data collecting, image recognition allows machines to recognize and categorize fish species. Fish species identification, size and weight estimate, and ecosystem monitoring are important applications that support the preservation of marine biodiversity and sustainable fisheries. High accuracy, scalability, and real- time analysis is provided by the technology, which lowers human error and enhances decision-making. However, issues including fish overcrowding, biofouling, and water turbidity may disrupt system function. Despite these drawbacks, developments in AI-powered picture identification keep improving environmental sustainability, fishery management, and marine research. This study shows how image recognition is becoming more and more capable of improving marine technology and encouraging responsible resource management

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohd Affandi, Nor Aina Afrina
2024672296@student.uitm.edu.my
Uzair, Nur Atiqah
2024234546@student.uitm.edu.my
Che Alias, Nurul Alia
2024406708@student.uitm.edu.my
Othman, Jamal
jamalothman@uitm.edu.my
Contributors:
Contribution
Name
Email / ID Num.
Chief Editor
Othman, Jamal
UNSPECIFIED
Subjects: L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA > Pulau Pinang
L Education > LG Individual institutions > Asia > Malaysia > Universiti Teknologi MARA
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: Beyond Boundaries: The Multidimensional Horizons of E-Learning
ISSN: 9786299875550
Volume: 9
Page Range: pp. 156-164
Keywords: Artificial Intelligence, Machine Learning, Image recognition
Date: March 2025
URI: https://ir.uitm.edu.my/id/eprint/114614
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