Paudyal’s dedicated team has already achieved significant breakthroughs, successfully developing sophisticated AI models capable of detecting critical health issues in dairy cows. These models can identify lameness, mastitis, and heat stress by analyzing a combination of camera images and subtle behavioral cues. This non-invasive approach promises to revolutionize animal welfare and proactive health management within the dairy sector, moving beyond traditional, often delayed, diagnostic methods.

Beyond individual cow health, the research extends to optimizing overall farm efficiency. The team is actively developing specialized farm efficiency models specifically designed for robotic milking systems. These models aim to pinpoint instances of idle time and identify milking failures, ensuring that expensive robotic infrastructure operates at peak performance. This focus on operational efficiency directly impacts dairy economics by maximizing output and minimizing waste.

A key objective of this research is to create diagnostic tools that are both noninvasive and cost-effective. The development of camera-based systems and various sensors allows for continuous monitoring of cows without the need for stressful or time-consuming invasive sampling. This accessibility of technology is crucial for widespread adoption across dairy farms of all sizes, making advanced care more feasible for every producer.