AI powers precision dairy care research at Texas A&M
Researchers at Texas A&M University are using artificial intelligence to advance the health and well-being of cattle.
According to a post to the university’s website last week, Sushil Paudyal, an assistant professor of dairy science, is leading work that uses AI to gather data from dairy farms to detect diseases earlier and help farmers make better decisions. The work is also helped to advance the field of farming robotics.
“Sensor-based systems, AI and real-time analytics are transforming how dairies make everyday decisions,” Paudyal said. “But to be effective, these technologies must be adaptable, updatable and tailored to individual farm needs.”
The work takes several different approaches to the challenges of dairy farming, including examining how heat stress affects cattle, by using AI-monitored video; and how heat stress affects robotic milking systems. He’s also using computer vision to identify various skin conditions on cattle with the hope of improving their health and detecting problems early.
“I always want to develop solutions to the real-world problems that help dairy farmers,” Paudyal said. “As a land-grant university with a mission to support Texas dairy farmers, it is essential to develop research projects that provide practical, immediately applicable solutions. By equipping farmers with the tools and resources they need, we can help address real-world challenges on the farm more effectively.”
