About the Project
August 2021 - December 2021
University of Michigan - Advanced Embedded Systems Course Project
Project Highlights
- Created embedded sensor array to monitor and track forest health including forest fires
- Monitored CO2 levels, temperature, and GPS location with I2C-connected sensors
- Implemented cloud communications via LTE and LoRa feather modules using UART
- Relayed data from arrays to a central hub using LoRa modules
- Demonstrated ability to expand sensor connections over SPI, I2C, or UART
Technical Implementation
- Sensors: CO2, Temperature, GPS (I2C interface)
- Communication: LoRa mesh network for sensor-to-hub relay
- Connectivity: LTE module for cloud data upload
- Protocols: I2C, UART, SPI support
- Platform: Embedded microcontroller with Adafruit Feather modules
Use Case
This system was designed to provide real-time monitoring of forest conditions, with particular focus on early detection of environmental changes that could indicate forest fires or ecosystem health degradation. The distributed sensor network allows coverage of large forest areas with data aggregation to a central monitoring station.