The future of farm animal welfare assessment will increasingly incorporate automated, continuous, and precision monitoring that provides richer data than periodic manual inspection.
The future of farm welfare assessment is automated and continuous rather than periodic and manual. The convergence of sensor miniaturisation, computer vision, machine learning, and cloud data management is enabling systems that monitor individual animals continuously, detecting welfare problems at much earlier stages than periodic inspection allows. Early detection means earlier intervention, shorter duration of welfare compromise, and better outcomes. These systems also generate objective, auditable welfare data that supports supply chain accountability in ways that visit-based inspection cannot. The welfare gains from this technological transition could be among the largest in the history of livestock production.