Automated lameness detection using GPS tracking, accelerometers, and computer vision is transforming cattle welfare by identifying lame individuals earlier and more reliably than traditional visual inspection methods.
Lameness is one of the most significant and prevalent welfare problems in dairy cattle. The painful nature of lameness causes reduced feed intake, lying time, and social interaction - measurable welfare impacts beyond the direct pain. Visual lameness scoring by farmers, while useful, consistently misses early-stage lameness and underestimates its prevalence. Automated detection catches lameness earlier, enabling intervention before the condition becomes severe and more difficult to treat. The data-driven approach to lameness management creates accountability and enables farms to track whether interventions are reducing the burden of lameness over time.