Yapay Zeka Uygulamalarının Mavi Yüzgeçli Orkinos (Thunnus Thynnus (Linnaeus, 1758))’un Avcılığı ve Yetiştiriciliği’nin Rolü

Abstract

Yapay Zeka (AI); öğrenme, problem çözme ve karar verme gibi tipik olarak insan zekası gerektiren görevleri yerine getirebilen bilgisayar sistemlerinin geliştirilmesi ve uygulanması anlamına gelmektedir ve son yıllarda birçok sektörde kullanımı yaygınlaşmıştır. Yapay zeka; balık yetiştiriciliğinde balık büyümesi ve sağlığının anlaşılmasını ve yönetimini önemli ölçüde artırabilecek gerçek zamanlı izleme, veri analitiği, tahmine dayalı modelleme ve karar destek sistemleri için fırsatlar sunmaktadır. Yapay zekanın son yıllarda orkinos avcılığı ve orkinos et kalitesinin belirlenmesinde de kullanılmaya başlandığı görülmektedir. Ton balığının kalitesini değerlendiren bir AI sistemi olan TUNA SCOPE, Cermaq ve Umitron Corporation gibi şirketlerin balık sağlığını ve refahını iyileştirmek için çeşitli girişimlerde bulundukları görülmektedir. AI'nın su ürünleri yetiştiriciliğine entegrasyonunun, işgücü maliyetlerini ve çevresel etkileri azaltırken verimliliği ve balık refahını artıran veri odaklı kararlara olanak tanıyarak sürdürülebilir uygulamalarda devrim yaratması beklenmektedir. Çalışmamızın amacı; su ürünleri yetiştiriciliğinde yapay zeka kullanımı, yapay zekanın balıkçılık ve su ürünleri yetiştiriciliğindeki kullanımı, orkinoslarda yapay zekanın kullanımı ile ilgili yapılmış çalışmaların detaylı bir şekilde incelenerek sunmak ve ileride yapılacak yapay zeka uygulamaları için bir alt yapı oluşturmaktır.

Keywords

• Yapay Zeka
• Mavi Yüzgeçli Orkinos
• Su Ürünleri Yetiştiriciliği
• Thunnus thynnus

The Role of Artificial Intelligence in the Fishing and Aquaculture of Bluefin Tuna (Thunnus Thynnus (Linnaeus, 1758))

Abstract

Artificial Intelligence (AI) refers to the development and implementation of computer systems that can perform tasks that typically require human intelligence, such as learning, problem solving, and decision making, and its use has become widespread in many sectors in recent years. AI offers opportunities for real-time monitoring, data analytics, predictive modeling, and decision support systems that can significantly improve the understanding and management of fish growth and health in aquaculture. In recent years, AI has also been used in tuna fishing and determining tuna meat quality. Companies such as TUNA SCOPE, an AI system that evaluates the quality of tuna, Cermaq, and Umitron Corporation have been making various initiatives to improve fish health and welfare. The integration of AI into aquaculture is expected to revolutionize sustainable practices by enabling data-driven decisions that increase efficiency and fish welfare while reducing labor costs and environmental impacts. The aim of our study; The aim of this study is to examine in detail the studies conducted on the use of artificial intelligence in aquaculture, the use of artificial intelligence in fisheries and aquaculture, and the use of artificial intelligence in tuna, and to create an infrastructure for future artificial intelligence applications.

Keywords

• Artificial Intelligence
• Bluefin Tuna
• Aquaculture
• Thunnus thynnus

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