Vikas Singh

Rajesh Kumar Rai

Gaurav Agrahari

Ms. Deepti Ojha

Abstract

California's recent wildfire has devastated several businesses and homes. A wildfire broke out on July 14 this year and consumed 2, 78, 000 hectares. On the basis of statistics from, the forest inventory, 35.71% of India's woods have never detected a fire of any significance, while the rest 54.40% have had occasional millenniums, 7.49% have experienced typical millenniums, and 2.405 have experienced high incidence rates. Annual forest fires, which have a negative impact on the mobility of forest commodities and services, result in the loss of valuable forest resources, including carbon stored in biomass. The project aims to provide 24/7 forest fire monitoring and tracking service. The fire sensor module and the CO2 gas detection module are used to detect flames and increase the concentration of CO2 gas in the air due to smoke, respectively. In these spaced networks, the LoRa module is used for longdistance access. For its compact size, and many features such as built-in Wi-Fi, we use the ESP8266 microcontroller.

Keywords- IoT: Internet of things, ESP8266: Micro Controller (NodeMCU), MQ-135: Smoke sensor, LoRa Module: Long Range module, DAC: Digital to analog converter