Sensor technology, artificial intelligence, and data analytics are transforming the ability to monitor individual animal welfare at commercial scale, enabling earlier intervention and better outcomes.
Precision livestock farming represents a fundamental shift in the capacity to monitor individual animal welfare at commercial scale. Technology that can detect a lame cow days before clinical observation, identify a sow with mastitis before she stops nursing, or flag a broiler with respiratory disease through posture analysis enables earlier intervention and better welfare outcomes. The technology is not a replacement for skilled stockpeople but an augmentation that extends their observational capacity. Implementation challenges include cost, data interpretation, and ensuring that alerts translate to timely human action. As the technology matures and costs decrease, its welfare potential for billions of farmed animals is substantial.