TY  - JOUR
T1  - Artificial Intelligence Applications in the Aquaculture Industry: Sustainability, Efficiency and Innovative Solutions
TT  - Su Ürünleri Endüstrisinde Yapay Zekâ Uygulamaları: Sürdürülebilirlik, Verimlilik ve Yenilikçi Çözümler
AU  - Kutlu, Banu
AU  - Balo Utku, Esen Damla
PY  - 2025
DA  - June
Y2  - 2025
DO  - 10.58626/memba.1728306
JF  - MEMBA Su Bilimleri Dergisi
PB  - Kastamonu University
WT  - DergiPark
SN  - 3062-3200
SP  - 172
EP  - 181
VL  - 11
IS  - 2
LA  - en
AB  - 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.
KW  - Aquaculture
KW  - Sustainability
KW  - Artificial intelligence
N2  - Yapay Zekâ (YZ), süreçleri organize ederek ve farklı sektörlerde önemli gelişmeler sağlayarak verimliliği ve sürdürülebilirliği artırmak için giderek önemli bir hale gelmektedir. YZ, su ürünleri yetiştiriciliği sektörünü yeniden şekillendirmektedir. YZ, su ürünleri yetiştiriciliğinde optimizasyonla ilgili sorunları çözmeye, maliyetleri düşürmeye ve sürdürülebilir çözümler bulmaya yardımcı olmak için kullanılmaktadır. Bu senaryolar, bu çalışma kapsamında YZ'nın su ürünleri yetiştiriciliğindeki gelecekteki rolünün ve YZ'nın su ürünleri yetiştiriciliği sektörüne sağladığı faydaların değerlendirilmesine rehberlik etmiştir. YZ, balık stoklarının izlenmesi, canlı stokların değerlendirilmesi, bitkiler ve hayvanlar arasındaki hastalıkların tanınması, su kalitesinin test edilmesi ve üretim hatlarının kontrol edilmesi şeklini geliştirmektedir. Hastalıkları erken tespit etmeye, üretimi etkileyen çevre koşullarını izlemeye ve hem verimliliği hem de sürdürülebilirliği iyileştirmeye yardımcı olmak için su ürünleri yetiştiriciliği YZ teknolojilerini kullanmaktadır. Ayrıca, yapay zekâ küresel ısınma ve su kaynaklarının yönetimi gibi çevreyi etkileyen sorunları incelemekte ve bu konulara çözümler sunmaktadır.
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UR  - https://doi.org/10.58626/memba.1728306
L1  - https://dergipark.org.tr/en/download/article-file/4995410
ER  -