Precision livestock farming uses sensors, cameras, and AI to continuously monitor individual animals, enabling early detection of welfare problems and more responsive management.
Precision livestock farming represents a genuine opportunity to improve animal welfare at scale by shifting from reactive to proactive health management. Traditional stockmanship requires skilled observation of large numbers of animals, creating inevitable delays between welfare problem onset and intervention. Continuous automated monitoring can detect lameness, respiratory disease, and reproductive problems days earlier than visual observation alone, enabling treatment before welfare compromise becomes severe. The welfare benefits are real and measurable, but technology adoption must be accompanied by training in data interpretation and maintenance of traditional stockmanship skills, as systems that replace rather than supplement observation miss welfare problems not captured by sensors.