AI can play a significant role in tracking and managing animal movements to prevent the spread of diseases by combining sensors, data analytics, and predictive modeling. Here’s how it works:
1. Animal Tracking with IoT and GPS
Wearable devices (collars, tags, implants) with GPS and sensors monitor animal location, movement patterns, and vital signs.
This data is collected in real-time and sent to cloud-based platforms.
2. Behavior Monitoring and Anomaly Detection
AI algorithms analyze movement and behavior patterns to detect early signs of illness (e.g., reduced movement, irregular feeding).
Deviations from normal behavior can trigger alerts for early intervention.
3. Geofencing and Movement Control
AI can define digital boundaries (geofences) and restrict animal movement between farms or zones.
If an animal crosses into a restricted or high-risk area, the system can alert authorities or automatically restrict access.
4. Disease Spread Modeling
By analyzing historical data and real-time movement, AI can predict potential outbreak zones.
Models can simulate how a disease might spread under different scenarios, helping in planning quarantines or vaccinations.
5. Integration with Veterinary and Health Records
AI systems can link movement data with health records to identify disease sources and trace contacts.