April 16, 2025
The project aims to address the growing challenges in the dairy cattle sector, particularly those arising from climate change and the limitations of current monitoring technologies.
Despite the widespread use of the high-yield Holstein-Friesian breed, dairy farms struggle with maintaining health, nutrition, and welfare standards due to the breed’s sensitivity and increasing environmental pressures. Although modern automation and robotic solutions provide detailed data on individual cows, these systems often require numerous sensors, which can stress the animals, generate excessive and fragmented data, and prove costly and inefficient for large-scale practical use.
To overcome these challenges, the project focuses on developing a comprehensive, AI-based decision support system named “Okos gazda szeme” (Smart Farmer’s Eye) – IntelliFarmMoo. Building on the University of Szeged’s existing machine vision platform, the system will use multimodal sensors (image, audio, thermal) to monitor cow behavior and physiological traits continuously. This sensor data, enriched with genomics and existing system inputs, will support AI-driven analysis for prediction, anomaly detection, and optimization across five key domains: health, nutrition, identification, welfare, and economics. Designed for adaptability across diverse farm setups, the solution will provide high-level, non-invasive herd monitoring that enhances operational efficiency and competitiveness.
The project is being carried out by Dr. Vilmos Bilicki's team in consortium with MILKMEN Ltd. The decision support system undertaken in the project is expected to be ready by the summer of 2028!
You can read more about the project in Hungarian on the University’s website and its news page!