Precision livestock farming technologies including computer vision, accelerometers, and AI analytics are creating new capabilities for real-time welfare monitoring that were impossible a decade ago.
Welfare technology holds genuine promise for detecting problems earlier and at scale — the human monitoring capacity of typical farm operations cannot provide the continuous assessment that automated systems can. Early detection of lameness, illness, and abnormal behavior enables earlier intervention that reduces the duration and severity of welfare problems. However, technology is only as valuable as the response it enables: sensors that detect problems but are ignored, or that generate so much data that genuine alerts are lost in noise, do not improve welfare outcomes. The implementation of welfare technology must be accompanied by clear response protocols and genuine commitment to acting on the information generated.