Precision livestock farming uses sensor technology and data analytics to monitor individual animals continuously, enabling earlier welfare intervention and more responsive management.
Precision livestock farming offers genuinely transformative potential for farm animal welfare through early detection of health problems before they become severe. A cow developing mastitis may show changes in rumination patterns, milk conductivity, and activity levels that sensor systems can detect 24-48 hours before clinical signs are apparent to even experienced stockpeople. This early detection window enables antibiotic treatment at an earlier stage when it is more effective, reduces the duration of pain from the infection, and may prevent the progression to severe systemic disease. Lameness detection through gait analysis algorithms can identify subtle early changes that precede visible lameness, enabling intervention before significant pain develops. The welfare promise of precision farming depends critically on what farmers do with the data: alerts that are not acted on promptly provide no welfare benefit. The technology also raises questions about the replacement of human stockpersonship - skilled, observant humans remain better at detecting some welfare problems than sensors, and the reduction in human-animal contact in technology-intensive systems may affect the early detection of welfare problems not captured by sensors.