Environmental pollution and changing weather conditions have increased the need for real-time environmental monitoring systems. Traditional monitoring stations are often expensive and limited in coverage, making them unsuitable for widespread deployment. To address this challenge, we developed a LoRa-Based Environmental Monitoring System using ESP32 and multiple environmental sensors.
The system consists of a transmitter node and a receiver node. The transmitter uses an ESP32 microcontroller along with a BME280 sensor for measuring temperature, humidity, and atmospheric pressure, a GUVA-S12SD UV sensor for monitoring UV radiation, and a GP2Y1010AU0F dust sensor for measuring air quality. The collected data is processed and transmitted wirelessly using LoRa technology, which provides long-range communication with low power consumption.
At the receiver side, another ESP32 equipped with a LoRa module receives the transmitted data and displays it on a TFT display. A buzzer is also included to indicate successful packet reception. In addition to monitoring environmental parameters, the system classifies air quality into user-friendly categories and performs basic rain prediction using humidity and pressure data.
The project demonstrates the practical use of LoRa technology for long-range environmental monitoring and can be applied in agriculture, smart cities, pollution monitoring, industrial environments, and remote sensing applications. The system is designed to be low-cost, portable, and easy to deploy, making it a useful solution for real-time environmental data collection.
Key FeaturesNo need for internet or WiFi
Real-time temperature monitoring
UV index monitoring
PM2.5 air quality monitoring
AQI classification
Long-range LoRa communication
Low-cost and energy-efficient design
Future ImprovementsFuture versions of the project can include cloud connectivity, GPS tracking, data logging, mobile application integration, LoRa node can be created to increase range and machine learning-based weather prediction for improved accuracy and remote monitoring capabilities.












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