Automated lameness detection technologies are improving early identification of lame cows enabling more timely welfare intervention.
Dairy cow lameness is chronically under-detected using periodic human observation. Automated systems that monitor activity patterns, stepping frequency, and locomotion continuously detect lameness earlier than visual observation. Earlier detection enables treatment before the condition progresses to severe pain. Technology-enabled early intervention reduces both welfare burden and treatment costs.