Precision livestock farming technologies including sensors, cameras, and AI monitoring systems offer significant potential to detect and address welfare problems earlier than manual inspection.
Precision livestock farming represents a paradigm shift in welfare monitoring: from periodic manual assessments to continuous automated surveillance. Systems that detect changes in rumination time, movement patterns, or social behaviour can identify animals in the early stages of disease or stress before visible clinical signs develop. Early intervention improves welfare outcomes — pain is shorter, treatment is more effective, and progression to severe welfare compromise is prevented. As these systems become more affordable and reliable, they have potential to transform the welfare monitoring landscape in commercial livestock production.