AI Innovations in Dairy Farming at Texas A&M

Researchers at Texas A&M University are utilizing artificial intelligence to improve the health and well-being of cattle. Assistant Professor of Dairy Science, Sushil Paudyal, is spearheading an initiative that integrates AI in data collection on dairy farms for early disease detection and improved decision-making by farmers. This initiative is also contributing to advancements in farm robotics.

Paudyal highlights, "Sensor-based systems, AI and real-time analytics are transforming how dairies make everyday decisions. But to be effective, these technologies must be adaptable, updatable and tailored to individual farm needs."

The research addresses various challenges in dairy farming, such as examining heat stress through AI-monitored video and its impact on robotic milking systems. Additionally, Paudyal is employing computer vision to diagnose skin conditions in cattle, aiming to enhance their health and early problem detection. "I always want to develop solutions to the real-world problems that help dairy farmers," said Paudyal, emphasizing the importance of practical solutions for Texas dairy farmers as part of the university's mission.