AI technologies are increasingly applied to animal welfare monitoring, disease detection, and behavioural assessment, offering the potential to scale welfare oversight across large animal populations.
AI offers transformative potential for animal welfare by making continuous, objective welfare monitoring feasible at scales impossible for human observers. Lameness detection algorithms can scan every cow as she walks through the parlour. Acoustic monitoring can alert stockpeople to distress calls in real time. Predictive health models can flag animals needing attention days before clinical disease is apparent. The key welfare advance is moving from periodic snapshot assessments to continuous monitoring, enabling problems to be detected and addressed much earlier.