Research harnesses AI decision modeling to improve livestock sustainability
Research harnesses AI decision modeling to improve livestock sustainability
Publish Date: 2026-05-26 16:09:00
Source Domain: agrilifetoday.tamu.edu
- Karun Kaniyamattam, Ph.D., is an AI modeling scientist aiming to develop a “digital crystal ball” for livestock producers to enhance decision-making about animal health and profitability.
- Kaniyamattam’s research targets critical challenges such as producer profitability, reducing antimicrobial use, and measuring environmental impact.
- His expertise includes addressing bovine respiratory disease, developing “predictive disease intelligence” to identify at-risk animals earlier and optimize antibiotic use.
- International collaboration under his leadership focuses on creating an open-source machine learning model for global beef production.
- Texas A&M AgriLife is positioned as a leader in AI-driven sustainability in livestock production through tools like BovineTwin.
- Kaniyamattam leads numerous projects including data-driven disease efforts, sustainable management evaluation, supply chain optimization, early disease diagnosis, and profitability forecasting.
- He is also dedicated to educating the next generation, mentoring over 120 students, and developing specialized courses to prepare them for future AI applications in livestock sustainability.
