Technology including wearable sensors, computer vision, and machine learning is transforming cattle welfare monitoring by enabling early detection of disease, lameness, and behavioral distress.
Precision livestock technology has genuine transformative potential for cattle welfare by detecting problems earlier and more consistently than periodic manual observation. Lameness is one of the most significant welfare problems in dairy cattle, affecting up to 20% of cows on some farms, and yet early-stage lameness is often missed because cows are stoic and farmers observe large herds. Accelerometer-based lameness detection systems can identify subtle gait and behavior changes days before lameness becomes visually apparent, enabling earlier intervention. The same principle applies to metabolic disease, mastitis, and respiratory conditions. The welfare challenge now is ensuring that detection technology is paired with effective treatment protocols, not just data collection that goes unacted upon.