By Gabe Saldana
The difference between a profitable season and a devastating loss for a livestock operation often hinges on a producer’s ability to predict the future.
Karun Kaniyamattam, Ph.D., a Texas A&M AgriLife Research artificial intelligence, AI, modeling scientist, Bryan-College Station, aims to provide the industry with a “digital crystal ball” to help livestock producers make smarter, faster decisions about animal health, production efficiency and profits.
Since joining the agency in 2023 as an assistant professor in the Texas A&M Department of Animal Science, Kaniyamattam has emerged as a leading voice in livestock data analytics and AI modeling.
Key research initiatives and the future
The tools Kaniyamattam and his team have created position Texas A&M AgriLife as a leader in research for AI-driven sustainability in livestock production.
His research is designed to address three of the most urgent challenges facing livestock production: producer profitability, reducing antimicrobial use and quantifying environmental impact.
“Livestock systems generate enormous amounts of data, but the challenge is turning that information into practical insights,” Kaniyamattam said. “AI allows us to analyze relationships among animal health and environmental and economic factors across livestock systems in ways that were not previously possible.”
Source : tamu.edu