How sensor technology and artificial intelligence are transforming welfare monitoring on farms.
Welfare technology represents a genuine opportunity to improve farm animal welfare at scale. The fundamental constraint of human attention — farms are large, animals are numerous, and welfare events occur continuously — means that many welfare problems go undetected until they are severe. Continuous automated monitoring dramatically lowers the detection threshold, enabling earlier intervention. The technology is also important for welfare credibility: objective sensor data provides verifiable welfare records that support assurance claims and enable genuine accountability. Challenges include false positive rates that can create alert fatigue, implementation costs, and the risk of technology substituting for rather than supplementing good stockmanship. The most welfare-positive implementations combine sensor data with trained human observation.