An IoT based Real Time Forest Fire Detection & Alerting System Using LoRa Communication

Forest fires pose a big risk to the ecosystem and human settlements. Early detection can prevent disruption in the cycle. This undertaking introduces an advanced sensor community using ESP32 modules, tailor-made for numerous environmental conditions. Strong fact transmission is ensured by the crucial ESP32 module, often known as the "essential node," capable of Internet and GSM communications. It aggregates data from several ESP32based peripheral nodes. Every peripheral node is ready with various sensors, including DHT11 for temperature and humidity, and MQ2 gas sensor for detecting combustible gases and smoke. LoRa generation links the core and peripheral nodes and was chosen for scalable, energy-efficient networks due to its extensive variety and low power requirement. The goal is to install a robust, holistic environmental monitoring device that can be used for commercial safety, and agricultural tracking. The blend of the ESP32’s flexibility, LoRa’s expansive communication methods, and several sensors ensure robust real-time data monitoring and prompt emergency response.