Smart Livestock Health & Grazing Monitor

Imagine building an IoT solution that gives farmers real-time insights into their livestock’s health and movements. This project uses wearable tags for cows, goats, and sheep that continuously track:

• 🌡️ Body Temperature – Detect early signs of fever, infections, or stress.

• 🐄 Motion & Activity – Monitor grazing habits, rest cycles, and unusual inactivity.

• 📍 GPS Location – Ensure cattle safety in open fields and prevent loss.

• 📡 IoT Dashboard – Data is transmitted via ESP32/LoRa to a cloud dashboard for analysis.

The system can predict disease outbreaks, optimize grazing patterns, and even alert farmers if an animal goes missing.

🎓 Why This Project is Valuable for Students
This project blends IoT sensors, edge AI, cloud dashboards, and data analytics, making it a powerful resume booster for placements and higher studies. Recruiters value hands-on projects that solve real-world agricultural problems with modern tech like ML-based anomaly detection and smart farming automation.

By completing this project, you demonstrate expertise in wearable IoT design, AI-driven health monitoring, GPS tracking, and cloud integration — skills highly sought after in the IoT, AI, and AgriTech industries.