Artificial intelligence and computer vision systems are enabling continuous, automated welfare monitoring of farm animals at scales impossible for human observers alone.
AI welfare monitoring represents a potential step-change in the scale and consistency of farm animal welfare assessment. Human inspection schedules inevitably miss welfare events occurring between visits, while automated systems operate continuously. The technology is still maturing, and validation against gold-standard behavioral assessment by trained observers remains important. The greatest welfare benefit will come when monitoring systems are integrated with management response protocols, ensuring that detected welfare problems trigger timely interventions rather than just generating data.