Farms.com Home   Ag Industry News

AI and Machine Learning to transform animal research

By Farms.com

The University of Arkansas welcomes Dr. Aranyak Goswami, a seasoned bioinformatics researcher, to its Agricultural Experiment Station. Goswami’s background in medical research at Yale and Stanford has equipped him with unique skills that he now brings to animal science, employing AI and machine learning to enhance research outcomes.

The focus of Goswami’s work is on the health and productivity of livestock, particularly through the analysis of genetic data and animal microbiomes. These studies are crucial for understanding diseases and developing new treatments that are both effective and environmentally sustainable.

Through his collaboration with other researchers and departments, Goswami is set to make significant contributions to the fields of animal and poultry science. His efforts include identifying key bacterial and viral pathogens affecting livestock, which will aid in the creation of novel probiotics and improve overall animal welfare.

Additionally, Goswami's involvement in teaching will provide valuable AI and machine learning insights to students at the university, preparing them for future challenges in agricultural sciences.

His work represents a pivotal step in integrating advanced technologies with traditional farming practices, promising to elevate Arkansas's status in the agricultural sector by enhancing both educational and research capabilities.


Trending Video

Turning Data into Better Decisions: BioCV's Intelligent Monitoring System for Modern Pork Producers

Video: Turning Data into Better Decisions: BioCV's Intelligent Monitoring System for Modern Pork Producers

In this exclusive interview, Jens Kjaer, CEO of BioCV Inc., discusses the North American launch of the BioCV Intelligent Sow Monitoring System and how advanced sensor technology and machine learning are changing the way producers manage sow herds. Using smart ear tags that continuously monitor temperature, behavior, and movement, the system provides real-time alerts for heat detection, farrowing, fever, lameness, and other critical health events—often before they become visible to barn staff.

Kjaer explains how the technology helps producers improve breeding efficiency, reduce non-productive days, identify health challenges earlier, and better support sows during farrowing. He also shares how BioCV's predictive analytics can help operations optimize labor, improve piglet survival, reduce sow losses, and enhance overall productivity in today's increasingly data-driven swine industry.

Learn how this innovative technology is giving producers actionable insights on every sow, every day, helping teams move from reactive management to proactive decision-making while improving both animal welfare and profitability. www.biocv.info/lisa-sow