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.

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Balıkçılık Yönetimi , Sucul Kültür

Bölüm

Araştırma Makalesi

Yazarlar

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

Erken Görünüm Tarihi

15 Mayıs 2025

Yayımlanma Tarihi

30 Mayıs 2025

Gönderilme Tarihi

21 Şubat 2025

Kabul Tarihi

13 Nisan 2025

Yayımlandığı Sayı

Yıl 1970 Cilt: 10 Sayı: 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

JAES, 2016- 11.yıl

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

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Erken Görünüm Tarihi

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster