EnviroSense is an IoT-based smart forest monitoring system designed to detect illegal tree cutting, forest fires, and tree falls caused by natural disasters. The system provides real-time alerts to the responsible authorities through a long-range LoRa communication network and a web-based monitoring dashboard.
The project consists of two main nodes:
- Tree Node (Sender) – Installed on individual trees to monitor their condition.
- Authority Node (Receiver + Server) – Receives alerts, activates an alarm, and hosts a monitoring dashboard.
Illegal tree cutting and forest fires are major threats to forest ecosystems. Traditional monitoring methods often fail to provide immediate notifications.
EnviroSense aims to:
- Detect tree cutting attempts.
- Differentiate between human-caused cutting and storm-induced tree falls.
- Detect nearby fire incidents.
- Send real-time alerts using LoRa communication.
- Provide a web dashboard for forest authorities.
- Enable rapid response to environmental threats.
The Tree Node continuously monitors the tree using multiple sensors.
- ESP32
- LoRa Ra-02 Module
- MPU6050 Gyroscope & Accelerometer
- SW420 Vibration Sensor
- IR Flame Sensor
- Solar Panel
- 18650 Li-ion Battery
- TP4056 Charging Module
- DC-DC Buck Converter
- Monitor tree orientation and movement.
- Detect vibrations caused by cutting activities.
- Detect nearby fire incidents.
- Analyze sensor data.
- Send alerts via LoRa.
The Authority Node receives data from Tree Nodes and acts as a monitoring station.
- ESP32
- LoRa Ra-02 Module
- Buzzer
- Receive alerts from Tree Nodes.
- Trigger an audible alarm.
- Host a web dashboard.
- Display tree status in real time.
- Allow authorities to acknowledge incidents.
EnviroSense uses sensor fusion to determine the cause of an incident.
Indicators:
- Strong vibration detected by SW420.
- Significant tree tilt detected by MPU6050.
When these events occur together, the system classifies the event as:
Tree Cutting Detected
Indicators:
- Significant tree tilt detected.
- No cutting vibration pattern detected.
The system classifies the event as:
Tree Fallen Due to Storm
Indicator:
- Flame sensor threshold exceeded.
The system immediately sends:
Fire Alert
The project uses LoRa (433 MHz) communication.
- Long communication range
- Low power consumption
- Reliable outdoor operation
- Suitable for remote forest environments
Communication Flow:
Tree Node → LoRa → Authority Node → Dashboard + Alarm
The Authority Node hosts a web server directly on the ESP32.
The dashboard provides:
- Real-time tree status
- Fire alerts
- Tree cutting alerts
- Storm fall alerts
- Incident acknowledgment
- Status updates after action is taken
The Tree Node is designed for long-term outdoor deployment.
Power System:
- Solar Panel
- TP4056 Charging Circuit
- 18650 Li-ion Battery
- DC-DC Converter
This enables continuous operation with minimal maintenance.
EnviroSense/
│
├── Final_Sender_Part/
│ └── Final_Sender_Part.ino
│
├── Final_Receiver_Part/
│ └── Final_Receiver_Part.ino
│
├── Circuit_Diagram.jpeg
├── Real_Life_Implemented_Circuit.jpeg
├── Web_Dashboard.jpg
│
├── LICENSE
└── README.md
| Sensor | Purpose |
|---|---|
| MPU6050 | Detect tree tilt and orientation |
| SW420 | Detect vibration caused by cutting |
| IR Flame Sensor | Detect nearby fire |
| LoRa Ra-02 | Long-range wireless communication |
- Arduino Framework
- ESP32
- LoRa Library
- Wire Library
- MPU6050 Library
- Arduino Framework
- ESP32 Web Server
- LoRa Library
| Alert | Description |
|---|---|
| Healthy | Normal tree condition |
| Cutting Detected | Possible illegal tree cutting |
| Fallen in Storm | Tree fall caused by natural events |
| Fire Detected | Fire detected near tree |
- GPS location tracking
- GSM/SMS notifications
- Mobile application
- Cloud database integration
- Multiple tree node deployment
- Solar power optimization
- AI-based event classification
- Mahadi Alam Shahib
- Tahmid Ibne Mofazzol
- Arghya Deb Sikder
This project is licensed under the MIT License.
See the LICENSE file for details.
Protecting Forests Through Smart Technology