OPEN ACCESS | Published on : 20-Jan-2026 | Pages: 21-28 | Doi : 10.37446/edibook202024/21-28
The integration of wearable sensor technologies with artificial intelligence is steadily reshaping how animal health is monitored and managed across various settings from commercial livestock farms to pet care and wildlife conservation. These systems continuously track physical, behavioural, and environmental parameters, offering real-time insights that support early disease detection, reproductive health monitoring, and welfare assessment. As these devices gather data on movement, temperature, feeding habits, and sounds, AI algorithms analyze the patterns to identify deviations that may indicate stress, illness, or oestrus. This proactive approach helps reduce morbidity, improve productivity, and support better decision-making by veterinarians and farmers alike. In dairy herds, for instance, smart collars and activity trackers now play a pivotal role in mastitis detection and precision feeding. Similarly, in companion animals, these tools aid in monitoring sleep cycles, emotional well-being, and chronic conditions, even enabling remote health checks when pets are in boarding facilities. These innovations contribute to One Health initiatives by enhancing surveillance of zoonotic threats through cross-species data analysis. The key challenges, such as calibration, data privacy, and affordability, must be addressed to ensure wider adoption. The convergence of these technologies is not merely adding tools to the veterinary toolkit it is gradually redefining the practice itself.
Artificial Intelligence, Livestock health management, Precision livestock farming, Real-time animal monitoring, Veterinary telemedicine, Wearable sensors
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