IoT based Forest Fire Prediction Framework

Forest are usually the best source of Flora and fauna. Natural disasters like Forest fire usually destroy the human and animal lives, raw minerals, natural vegetation and ecosystem of the whole forest. This is a major issue in forest which are huge, unguarded and have no proper communication system. During the past few years, these forest fire have become a huge crisis which are difficult to manage. Existing System based on Internet of Things (IoT), which usually detects forest fire after it has been spread over a huge area. Therefore, a system is required for the detection of the forest fire in the early stage of the fire. It can be achieved using LoRa and Various Sensors. LoRa helps to connect two low end device on large geographical area and it is based on LoWAN. The proposed system is validated in cloud database using Wi-Fi Module and data is collected using three sensors which are used for monitoring the environment. When a fire is detected LoRa Transmitter sends the information to the receiver. Further an SMS is sent using GSM module at the receiver end. Investigation reveals that the LoRa Approach beats the general satellite methods as it detects fire in its initial stages thus reducing the loss of flora and fauna.