Research Article

Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions

Volume: 11 Number: 2 June 26, 2025
EN TR

Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions

Abstract

Artificial Intelligence (AI) is becoming increasingly important to increase efficiency and sustainability by organizing processes and providing significant improvements in different sectors. AI is reshaping the aquaculture sector. AI is being used to help solve optimization problems in aquaculture, reduce costs, and find sustainable solutions. These scenarios guided the evaluation of the future role of AI in aquaculture and the benefits that AI brings to the aquaculture sector in this study. AI is improving the way fish stocks are monitored, live stocks are assessed, diseases among plants and animals are recognized, water quality is tested, and production lines are controlled. Aquaculture uses AI technologies to help detect diseases early, monitor environmental conditions affecting production, and improve both efficiency and sustainability. In addition, AI is examining and providing solutions to environmental issues such as global warming and water resource management.

Keywords

References

  1. Ahmad, A., Abdullah, S. R. S., Hasan, H. A., Othman, A. R., & Ismail, N. I. (2021). Aquaculture industry: Supply and demand, best practices, effluent and its current issues and treatment technology. Journal of Environmental Management, 287, 112271.
  2. Ahmad, T., Ali, L., Alshamsi, D., Aldahan, A., El-Askary, H., & Ahmed, A. (2024). AI-Powered Water Quality Index Prediction: Unveiling Machine Learning Precision in Hyper-Arid Regions. Earth Systems and Environment, 1-18.
  3. Ahmed, I., Jeon, G., & Piccialli, F. (2022). From artificial intelligence to explainable artificial intelligence in industry 4.0: a survey on what, how, and where. IEEE Transactions on Industrial Informatics, 18(8): 5031-5042.
  4. Alam, M., Khan, I. R., Siddiqui, F., & Alam, M. A. (2024). Artificial Intelligence as Key Enabler for Safeguarding the Marine Resources. In Artificial Intelligence and Edge Computing for Sustainable Ocean Health, 409-451.
  5. Anwar, H., Anwar, T., & Mahmood, G. (2023). Nourishing the Future: AI-Driven Optimization of Farm-to-Consumer Food Supply Chain for Enhanced Business Performance. Innovative Computing Review, 3(2).
  6. Aragonés Lozano, M., Pérez Llopis, I., & Esteve Domingo, M. (2023). Threat hunting architecture using a machine learning approach for critical infrastructures protection. Big data and cognitive computing, 7(2).
  7. Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024). Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review. Environmental Science and Ecotechnology, 19, 100330.
  8. Bohara, K., Joshi, P., Acharya, K. P., & Ramena, G. (2024). Emerging technologies revolutionising disease diagnosis and monitoring in aquatic animal health. Reviews in Aquaculture, 16(2): 836-854.

Details

Primary Language

English

Subjects

Hydrobiology, Ecology (Other), Aquaculture

Journal Section

Research Article

Publication Date

June 26, 2025

Submission Date

December 24, 2024

Acceptance Date

June 3, 2025

Published in Issue

Year 2025 Volume: 11 Number: 2

APA
Balo Utku, E. D., & Kutlu, B. (2025). Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions. MEMBA Su Bilimleri Dergisi, 11(2), 172-181. https://doi.org/10.58626/memba.1728306
AMA
1.Balo Utku ED, Kutlu B. Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions. MEMBA Su Bilimleri Dergisi. 2025;11(2):172-181. doi:10.58626/memba.1728306
Chicago
Balo Utku, Esen Damla, and Banu Kutlu. 2025. “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”. MEMBA Su Bilimleri Dergisi 11 (2): 172-81. https://doi.org/10.58626/memba.1728306.
EndNote
Balo Utku ED, Kutlu B (June 1, 2025) Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions. MEMBA Su Bilimleri Dergisi 11 2 172–181.
IEEE
[1]E. D. Balo Utku and B. Kutlu, “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”, MEMBA Su Bilimleri Dergisi, vol. 11, no. 2, pp. 172–181, June 2025, doi: 10.58626/memba.1728306.
ISNAD
Balo Utku, Esen Damla - Kutlu, Banu. “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”. MEMBA Su Bilimleri Dergisi 11/2 (June 1, 2025): 172-181. https://doi.org/10.58626/memba.1728306.
JAMA
1.Balo Utku ED, Kutlu B. Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions. MEMBA Su Bilimleri Dergisi. 2025;11:172–181.
MLA
Balo Utku, Esen Damla, and Banu Kutlu. “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”. MEMBA Su Bilimleri Dergisi, vol. 11, no. 2, June 2025, pp. 172-81, doi:10.58626/memba.1728306.
Vancouver
1.Esen Damla Balo Utku, Banu Kutlu. Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions. MEMBA Su Bilimleri Dergisi. 2025 Jun. 1;11(2):172-81. doi:10.58626/memba.1728306

Cited By

Founded in 2013 as the "Menba Kastamonu University Faculty of Fisheries Journal," our journal continues to be published as the "MEMBA Journal of Water Sciences."
-----------
MEMBA Journal of Water Sciences is an international, peer-reviewed, open-access scientific journal published by Kastamonu University. The journal aims to encourage the publication of fundamental and applied scientific research related to aquatic sciences and water resources, strengthen interdisciplinary scientific communication, and increase knowledge in this field. The journal began publishing continuously in 2026 and only accepts original articles, short notes, technical notes, reports, and reviews in English.

MEMBA Water Sciences Journal
TRDizin, SOBIAD, ASCI, CAB Direct, Google Scholar, Paperity, Asosindex, Academic Journal Index, CNKI Scholar
----------
Submitting a plagiarism similarity report is mandatory when uploading an article to our journal, and the plagiarism similarity rate in this report must be below 30%. Authors must submit this report when uploading their article.
Articles uploaded to our journal must include abstracts in both Turkish and English.