Sensor technology, computer vision and machine learning are enabling real-time welfare monitoring on farms - these technologies have the potential to transform early detection of welfare problems at scale.
Precision livestock farming represents one of the most promising emerging welfare improvement opportunities. The welfare bottleneck in many production systems is detection delay - problems like lameness, respiratory disease and heat stress worsen significantly between manual inspections. Continuous automated monitoring addresses this by providing real-time alerts. Early intervention prevents welfare deterioration and reduces treatment costs. The technology also generates welfare outcome data that can drive management improvement. Challenges include ensuring alerts result in appropriate action, preventing data overload, and ensuring technology costs don't exclude smaller farms from welfare improvements.