Abstract
Lameness in dairy cattle is not a disease but a clinical sign of impaired locomotion, with the main causative agents being painful foot lesions. Lameness compromises economic, environmental, and social sustainability goals of the U.S. dairy industry. Combining technology and farm data may be a more precise and less labor-intensive tool for lameness detection, particularly with regard to early detection. The study objective was to describe the association between average weekly autonomous camera-based (AUTO) mobility scores and cows with lesion (LAME) and without lesions (TRIM) to see if this technology can detect lameness occurrence earlier.
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