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Applying wearable sensors & machine learning to improve dairy cow health & production

It is common among dairy calves to develop disease and metabolic problems in the early lactation period. The development of a method for identifying calves that are more likely to have a poor lactation period will allow for more effective interventions on preventing inefficiencies. The project team is using machine learning technology to analyze prepartum rumination activity based on wearable sensors cows are wearing that will predict the likelihood of postpartum problems.

Investigator(s)

Principal investigator: Eduardo de Souza Ribeiro