Sensor technology, computer vision, and AI are transforming welfare monitoring from periodic observation to continuous, objective assessment across entire herds and flocks.
Technology-enabled welfare monitoring addresses the fundamental limitation of human observation: it cannot be continuous, it is subjective, and it cannot cover all animals simultaneously. Automated systems monitor every animal continuously, providing objective time-series data that reveals welfare trends invisible in snapshot assessments. Early detection of health problems through deviation from individual baselines enables intervention before welfare deterioration becomes severe. The welfare dividend is largest in large commercial operations where individual animal observation is most constrained. Implementation challenges include data quality, system reliability, and ensuring that monitoring alerts translate into welfare-improving actions.