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About This Webinar
In this webinar, Miel Hostens will explore how precision dairy technologies—from activity and behavioral sensors to automated milking and monitoring systems—can be translated into actionable decisions using AI and machine learning. He will highlight the biggest real-world barriers that keep farms from fully benefiting from data (including heterogeneous data streams, ownership/privacy concerns, and analytics workflows) and outline practical pathways to build trustworthy, scalable decision-support that improves cow health, welfare, and performance in high-producing systems.
Presenter
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Dr. Miel Hostens
Miel Hostens is the Robert and Anne Everett Endowed Associate Professor of Digital Dairy Management and Data Analytics in the Department of Animal Science, Cornell University, and leads the Bovi-Analytics Lab. A veterinarian by training (PhD, DVM, MSc), his work focuses on precision dairy farming, integrating sensor and herd data with AI and machine learning to improve decision support for animal health, welfare, sustainability, and farm performance. He is a Cornell Atkinson Center for Sustainability Faculty Fellow, a Cornell Institute for Digital Agriculture Faculty Fellow, and serves as Chair of the Working Group for Milk Recording within the International Committee for Animal Recording (ICAR).
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