This project showcases my Master's Thesis at Aalto University and EURECOM, focusing on developing a Smart Agriculture System using LoRaWAN and Microsoft Azure. It integrates cutting-edge IoT technologies for real-time monitoring and data analysis in an agricultural scenario.
- Real-Time Monitoring 🌡️: Utilizes IoT sensors for monitoring agricultural conditions.
- Cloud-Based Data Analysis ☁️: Leverages Microsoft Azure for advanced data processing and analytics.
- Interactive Dashboard 📊: Features a user-friendly dashboard on Azure IoT Central for data visualization and insights.
- LoRaWAN: Low Power Wide Area Network for efficient IoT communication.
- Microsoft Azure: Cloud platform for data processing and analytics.
- Node-RED: Programming tool for wiring together hardware devices, APIs, and online services.
- MQTT Protocol: Lightweight messaging protocol for small sensors and mobile devices.
- ChirpStack: Network server solution, providing essential LoRaWAN network management and connectivity features.
This project is released under the MIT License - see LICENSE for details.