Araştırma Makalesi

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

Cilt: 11 Sayı: 2 26 Haziran 2025
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Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions

Öz

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.

Anahtar Kelimeler

Kaynakça

  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.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Hidrobiyoloji, Ekoloji (Diğer), Sucul Kültür

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

26 Haziran 2025

Gönderilme Tarihi

24 Aralık 2024

Kabul Tarihi

3 Haziran 2025

Yayımlandığı Sayı

Yıl 2025 Cilt: 11 Sayı: 2

Kaynak Göster

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, ve 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 (01 Haziran 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 ve B. Kutlu, “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”, MEMBA Su Bilimleri Dergisi, c. 11, sy 2, ss. 172–181, Haz. 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 (01 Haziran 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, ve Banu Kutlu. “Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions”. MEMBA Su Bilimleri Dergisi, c. 11, sy 2, Haziran 2025, ss. 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. 01 Haziran 2025;11(2):172-81. doi:10.58626/memba.1728306

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