Wearable sensors, GPS trackers, and IoT monitoring systems are transforming welfare monitoring for companion animals, farm animals, and wildlife by enabling continuous, objective data collection.
Welfare monitoring technology addresses the fundamental challenge that human observation is intermittent, subjective, and resource-intensive. Continuous sensor data provides objective welfare metrics that complement human observation rather than replacing it. For farm animals, continuous monitoring enables earlier disease detection before welfare is severely compromised. For companion animals, activity and sleep monitoring provides longitudinal data that detects age-related welfare changes gradually enough to enable proactive management. For wildlife, GPS and sensor collars provide welfare-relevant data on movement, behavior, and mortality with reduced capture frequency.