2nd World Congress on Animal Science & Veterinary Medicine

November 03-04, 2025       Bangkok, Thailand

Prof. Serdal Dikmen

Prof. Serdal Dikmen

Bursa Uludag University
Turkey

Abstract Title: The Use of Artificial Intelligence for Dairy Cattle Management

Biography:

Prof. Dr. Serdal Dikmen has completed his PhD at the age of 28 years from Uluda? University and postdoctoral studies from Florida University at the Department of Animal Sciences. Then he got his Professor position at the age of 39. He has published more than 100 papers in reputed journals.

Research Interest:

Artificial intelligence (AI) is transforming dairy cattle management by enhancing efficiency, productivity, and animal welfare. The term 'artificial intelligence' was first mentioned by John McCarty in 1956, and since then there has been a phenomenal growth in this field. AI-powered technologies such as machine learning, computer vision, and predictive analytics enable real-time tracking of dairy cattle health, reproduction, nutrition, and milk production. Artificial and automated milking systems with AI can optimize milking frequency, detect mastitis at an early stage, and increase milk yield forecasting. AI-based precision feeding systems offer customized nutritional programs, reducing waste and maximizing feeding efficiency. Wearable sensors and computer vision software track cow behavior, gait, and rumination patterns around the clock to detect lameness, estrus, and disease at an early stage. AI-based decision support systems integrate environment and physiology information to minimize heat stress, both improving animal productivity and comfort. AI also amplifies genetic selection by analyzing massive data sets for optimizing breeding procedures for higher production and disease resilience. For that achievement, different challenges exist ranging from data aggregation, the need for robust algorithms, and data privacy issues affecting farms. AI will keep on promoting sustainability by reducing the usage of resources and greenhouse gas emissions with economic viability. Existing applications, limitations, and potential of AI in dairy farming have been highlighted in this review, placing importance on its role towards precision livestock farming and animal welfare as well as sustainable milk production.