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dc.contributor.authorOffice of Marketing and Communications. Media Relations
dc.date.accessioned2019-07-12T17:52:45Z
dc.date.available2019-07-12T17:52:45Z
dc.date.issued2019-06-20
dc.identifier.urihttps://hdl.handle.net/1813/66681
dc.description.abstractThis news item from the Cornell Chronicle is about: Development of predictive models to accurately detect subclinical and clinical mastitis in dairy cows milked with automated milking systems: Rick Watters, senior extension associate in CVM and director of the Quality Milk Production Services Western Laboratory; and Kristan Reed, assistant professor of animal science. Using data such as milk yield, milking time and time between milking visits, the researchers will develop an algorithm to predict mastitis in dairy cows.
dc.language.isoen_US
dc.publisherCornell University. College of Veterinary Medicine
dc.subjectCornell University. College of Veterinary Medicine -- Periodicals.
dc.subjectWatters, Rick
dc.subjectCornell Chronicle
dc.subjectLefkowitz, Melanie
dc.title2019 CVM News: Awards fund innovations in digital agriculture
dc.title.alternative2019 CVM News: Watters awarded digital agriculture grant
dc.typearticle


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