TS 1 Data from Milk Robots: Opportunities for Dairy Cattle Improvement 
The session discusses how data from automated milking systems (AMS) can be used to improve dairy farming. As these systems collect extensive information on cow health, behavior, and productivity, they offer new opportunities to enhance genetic selection, optimize herd management, and enable data-driven decisions. The session highlights both the potential and challenges of turning this raw data into practical strategies that advance efficiency and sustainability in the dairy industry.
TS 5 From Milk Analysis to Decision Support: Unlocking Insights for Sustainable dairy management. Chair: J. Bordeleau
The ICAR Subcommittee on Milk Analysis invites contributions to its technical session “From Milk Analysis to Decision Support: Unlocking Insights for Sustainable Dairy Management.” This session will highlight the latest developments in transforming milk recording and analysis into actionable knowledge for producers, advisors, and industry stakeholders. We welcome abstracts on innovative tools, methodologies, and applications—from advanced analytics to digital platforms and AI—that enhance herd health, productivity, and environmental sustainability. Researchers, developers, and practitioners are encouraged to share results, case studies, and forward-looking perspectives that demonstrate how milk data can drive smarter, more sustainable decision-making across the dairy sector.