Overview of Aquaculture Artificial Intelligence (AAI) Applications: Enhance Sustainability and Productivity, Reduce Labor Costs, and Increase the Quality of Aquatic Products
Authors
Sherine Ragab
Fish Nutrition Research Laboratory, Animal Production Department, Faculty of Agriculture, Cairo University, Cairo, Egypt
Seyed Hossein Hoseinifar
Department of Fisheries, Faculty of Fisheries and Environmental Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran
Hien Van Doan
Department of Animal and Aquatic Sciences, Faculty of Agriculture, Chiang Mai University, Thailand
Faculty of Agriculture, Chiang Mai University, Thailand
Waldemar Rossi
School of Aquaculture and Aquatic Sciences, College of Agriculture, Kentucky State University, United States
Simon Davies
Ryan Institute, College of Science and Engineering, University of Galway, Galway, Ireland
Mohamed Ashour
National Institute of Oceanography and Fisheries, Egypt
Ehab El-Haroun
Fish Nutrition Research Laboratory, Animal Production Department, Faculty of Agriculture, Cairo University, Cairo, Egypt
Language: English
Page range: 441 - 453
Submitted on: May 15, 2024
Accepted on: Jul 1, 2024
Published on: Apr 24, 2025
Published by: National Research Institute of Animal Production
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
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© 2025 Sherine Ragab, Seyed Hossein Hoseinifar, Hien Van Doan, Waldemar Rossi, Simon Davies, Mohamed Ashour, Ehab El-Haroun, published by National Research Institute of Animal Production
This work is licensed under the Creative Commons Attribution 4.0 License.