A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science

Hamdi Aydın

doi:10.35229/jaes.1644688

EN TR

A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science

Abstract

Aquaculture is gaining importance due to the increasing population and food demand. However, one of the biggest challenges in the sector is the need for innovative technologies. Artificial intelligence (AI) offers important solutions in environmental process management, early disease detection, water quality monitoring and optimizing feeding strategies. This study examines the evolution of AI in aquaculture by analyzing 202 publications in the Web of Science database between 1998 and 2024. Academic productivity has increased rapidly in recent years, reaching 64 articles in 2024. The most common document types are “Articles” (124) and “Reviews” (41), with research focused on environmental disciplines such as Fisheries (41) and Marine Freshwater Biology (29), as well as technical fields such as Engineering Electrical Electronics (26) and Computer Science (25). The leading journals are Aquaculture and Computers and Electronics in Agriculture. China (52) and the US (28) are the top contributors, with Li Daoliang (7 publications) being the most prolific author. Keyword analysis reveals central themes such as “Aquaculture” (66), “Artificial Intelligence” (61), and “Machine Learning” (36), while concepts such as “Smart Fish Farming” and “Sustainability” indicate a shift toward technology-driven green solutions. Citation networks reveal strong connections but some fragmentation. The findings suggest that AI is increasing its role in the industry, encouraging sustainability and collaboration.

Keywords

Aquaculture , artificial intelligence , publications , smart fish farming , web of science.

Web of Science'da Yayımlanan Su Ürünleri Yetiştiriciliği ve Yapay Zeka Konulu Yayınların Kapsamlı Analizi

Öz

Su ürünleri yetiştiriciliği, artan nüfus ve gıda talebi nedeniyle önem kazanmaktadır. Ancak sektördeki en büyük zorluklardan biri, yenilikçi teknolojilere duyulan ihtiyaçtır. Yapay zeka (YZ), çevresel süreçlerin yönetimi, hastalıkların erken tespiti, su kalitesinin izlenmesi ve beslenme stratejilerinin optimize edilmesi gibi konularda önemli çözümler sunmaktadır. Bu çalışma, 1998-2024 yılları arasında Web of Science veri tabanındaki 202 yayını analiz ederek yapay zekanın su ürünleri yetiştiriciliğindeki evrimini incelemektedir. Son yıllarda akademik üretkenlik hızla artmış, 2024’te 64 makaleye ulaşmıştır. En yaygın belge türleri "Makaleler" (124) ve "İncelemeler" (41) olup, araştırmalar Balıkçılık (41) ve Deniz Tatlı Su Biyolojisi (29) gibi çevre disiplinlerinin yanı sıra Mühendislik Elektrik Elektroniği (26) ve Bilgisayar Bilimi (25) gibi teknik alanlarda yoğunlaşmıştır. Aquaculture ve Computers and Electronics in Agriculture en önde gelen dergilerdir. Çin (52) ve ABD (28) en fazla katkı sağlayan ülkeler olup, Li Daoliang (7 yayın) en üretken yazarlardandır. Anahtar kelime analizi, "Su Ürünleri Yetiştiriciliği" (66), "Yapay Zeka" (61) ve "Makine Öğrenimi" (36) gibi merkezi temaları ortaya koyarken, "Akıllı Balık Çiftliği" ve "Sürdürülebilirlik" gibi kavramlar teknoloji odaklı çevreci çözümlere yönelimi göstermektedir. Atıf ağları, güçlü bağlantılar olsa da bazı parçalanmaların sürdüğünü ortaya koymaktadır. Bulgular, yapay zekanın sektördeki rolünü artırarak sürdürülebilirlik ve iş birliğini teşvik ettiğini göstermektedir.

Anahtar Kelimeler

Akıllı balık çiftliği , su ürünleri yetiştiriciliği , yapay zeka , yayınlar , web of science.

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Details

Primary Language

English

Subjects

Fisheries Management , Aquaculture

Journal Section

Research Article

Authors

Hamdi Aydın ^*
0000-0002-3854-6047
Türkiye

Early Pub Date

May 15, 2025

Publication Date

May 30, 2025

Submission Date

February 21, 2025

Acceptance Date

April 13, 2025

Published in Issue

Year 1970 Volume: 10 Number: 3

DOI

https://doi.org/10.35229/jaes.1644688

IZ

https://izlik.org/JA79FT62XZ

APA

Aydın, H. (2025). A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science. Journal of Anatolian Environmental and Animal Sciences, 10(3), 237-246. https://doi.org/10.35229/jaes.1644688

EBSCOHost Scilit CABI

JAES/AAS-Journal of Anatolian Environmental and Animal Sciences/Anatolian Academic Sciences&Anadolu Çevre ve Hayvancılık Dergisi/Anadolu Akademik Bilimler-AÇEH/AAS

A Comprehensive Analysis of Publications on Aquaculture and Artificial İntelligence, Published on Web of Science

Abstract

Keywords

Web of Science'da Yayımlanan Su Ürünleri Yetiştiriciliği ve Yapay Zeka Konulu Yayınların Kapsamlı Analizi

Öz

Anahtar Kelimeler

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite