Yapay zekanın süt endüstrisinde potansiyel kullanım alanları

Year 2026, Volume: 15 Issue: 1, 1 - 1

Bilgesu Bekremen , Hamdi Barbaros Özer

Abstract

Gıda üreticileri, tahmine dayalı modelleme yoluyla gıda güvenliği ve kalitesi konularında proaktif bir yaklaşım benimsemektedir. Bu durum, yüksek hız ve tekrarlanabilirlik ile en doğru sonuca ulaşmayı gerektirmektedir. Bu nedenle gıda üreticileri büyük veri analizleri ile makine öğrenmesi (ML), nesnelerin interneti (IoT) ve derin öğrenme (DL) gibi modelleri kullanarak yapay zeka sistemlerini rutin üretimlerinin bir parçası haline getirmeyi hedeflemektedir. Sütün doğası gereği kolay bozulabilir olması, çiğ sütün kalitesinin nihai ürünün kalitesini doğrudan etkilemesi ve çiğ süt üretiminin ağırlıklı olarak hem dağınık hem de küçük üreticiler tarafından gerçekleştirilmesi, süt endüstrisinin hammaddeden nihai ürüne kadar disiplinli bir şekilde kalite ve gıda güvenliği konularına odaklanmasını zorunlu kılmaktadır. Bu derlemede, süt endüstrisinde kaliteyi korumak ve gıda güvenliğini sağlamak için yapay zeka modellerinden yararlanma olanakları tartışılmaktadır.

Keywords

Yapay Zeka , Süt kalitesi , Süt ürünleri , Gıda güvenliği , Büyük veri

Project Number

Bulunmamaktadır

Potential application areas of artificial intelligence in dairy industry

Abstract

Food manufacturers are taking a proactive approach to food safety and quality issues through predictive modeling. This situation necessitates reaching the most accurate result with high speed and repeatability. Therefore, food manufacturers aim to integrate artificial intelligence systems into their routine production by utilising machine learning (ML), the Internet of Things (IoT), and deep learning (DL) through big data analysis. The fact that milk is easily spoilt due to its nature, that the quality of raw milk directly affects the quality of the final product and that raw milk production is predominantly carried out by both dispersed and small producers makes it mandatory for the dairy industry to focus on quality and food safety issues in a disciplined manner from raw materials to the end product. This review discusses the possibilities of utilising artificial intelligence models in the dairy industry to maintain quality and ensure food safety.

Keywords

Artificial intelligence , Milk quality , Dairy products , Food safety , Big data

Project Number

Bulunmamaktadır

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