This research project is intended to implement and evaluate a machine learning framework utilizing multispectral imagery to optimize protein production efficiency from two Canadian livestock industries, dairy production and beef cattle production. The assessment protocol will include the surveillance of pathophysiological conditions (e.g. bovine respiratory disease, mastitis, estrus detection), animal well-being (e.g. stress susceptibility, lameness, […]
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