A continuous monitoring system for subclinical mastitis using thermography and AI enables early inflammation detection, improving animal health and reducing stress. It optimizes treatments, minimizes antibiotic use, boosts productivity, and lowers operational costs. It supports decision-making with predictive analysis, ensures environmental sustainability and regulatory compliance, and provides valuable data for research. By automating monitoring, it enhances efficiency and animal welfare in li

ThermoMED (Thermography Mastits Early Detection) System :AI-Driven Large-Scale Early Detection System of Subclinical Mastitis in Italian Mediterranean Buffalo Based on Infrared Imaging (Flagship Solution)
The proposed system integrates strategically placed thermal cameras within a robotic milking system. This setup ensures consistent and non-intrusive monitoring of udder health
Udder Segmentation: A U-Net neural network performs segmentation to isolate udder regions from the background.

Italian Mediterranean Buffalo Farmers