Episode 372 - Putting AI to Work on the Dairy: From Herd Records to Action - UMN Extension's The Moos Room

Dairy farms generate plenty of data—but turning those records into useful management decisions takes time. In this episode of The Moos Room, Brad explores how artificial intelligence can help organize dairy records, summarize herd performance, and identify priorities for follow-up. Brad shares his experience using Claude AI and open-source dairy data tools to analyze DairyComp 305 exports from the University of Minnesota’s organic and conventional research herds. From milk production and components to fresh cow health, somatic cell counts, and culling, he discusses how AI can bring information together into a practical herd review. He also describes using monthly DHI reports and milk fatty acid profiles to build summaries, graphs, and cow lists that make trends easier to spot. Topics include: Turning DairyComp records into herd summaries and suggested action items. Tracking udder health, fresh cow infections, and milk component trends. Exploring tools for ration formulation, feed costs, and lactation projections. Combining multiple DHI reports into one useful management overview. Recognizing the importance of complete records, data privacy, and checking AI-generated results. The opportunity is making dairy data easier to use. Brad discusses how these tools could support farmers, veterinarians, nutritionists, and Extension educators as they work together to improve herd management. https://dairydatascience.com/ https://github.com/padge01/dairy-data-tools/blob/main/README.md Questions, comments, scathing rebuttals? -> themoosroom@umn.edu or call 612-624-3610 and leave us a message! Linkedin -> The Moos Room Twitter -> @UMNmoosroom and @UMNFarmSafety Facebook -> @UMNDairy YouTube -> UMN Beef and Dairy and UMN Farm Safety and Health Instagram -> @UMNWCROCDairy Extension Website AgriAmerica Podcast Directory