Sensor technology, computer vision, and machine learning are enabling continuous welfare monitoring on farms that was previously impossible with manual inspection alone.
Precision livestock farming technologies represent a welfare revolution for commercial animal agriculture. Traditional welfare assessment relies on periodic human observation that misses early disease signs between inspections. Continuous monitoring that detects behavioral deviations, changes in movement patterns, and physiological indicators enables intervention at stages when treatment is more effective and the animal has experienced less suffering. The challenge is translating technological capability into welfare improvements rather than simply increased production efficiency.