Revolutionizing livestock management through AI-driven behavior recognition and health analysis.
The Cattle Monitoring Project leverages artificial intelligence and IoT-based sensing to transform traditional herd management into a data-driven, automated system. It continuously monitors cattle behavior, movement, and physiological parameters such as temperature and motion — empowering farmers with real-time insights for timely and informed decisions.
AI models detect feeding, resting, walking, and other activity patterns using sensor data.
Identifies deviations in movement or body temperature to alert farmers before symptoms appear.
Provides real-time dashboards and analytics to boost productivity, animal welfare, and efficiency.
Integrating sensors, AI, and cloud systems for seamless monitoring
Collar-mounted motion and temperature sensors for continuous data collection.
Deep learning models analyze cattle behavior and detect health anomalies.
Centralized data storage and visualization enable real-time monitoring and scalability.
Farmers receive alerts, performance metrics, and health insights anywhere, anytime.
Advancing precision livestock farming in Pakistan
This project enhances livestock health management, reduces economic losses from delayed illness detection, and supports sustainable dairy and meat production through data-driven insights. By combining AI, IoT sensor networks, and cloud analytics, it marks a transformative leap toward smarter, more efficient livestock farming across Pakistan.