IOT-BASED FOREST FIRE DETECTION AND EARLY WARNING SYSTEM (FO-FEWS) USING ARDUINO UNO AND GSM

• Main Author: ERNIEZA, MUSA
• Format: Final Year Project Report
• Language: English
• Published: Universiti Malaysia Sarawak, (UNIMAS) 2022
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/40065/3/Ernieza%20Musa%20ft.pdf; http://ir.unimas.my/id/eprint/40065/
• Institution: Universiti Malaysia Sarawak

This project presents the design of a forest fire detection and early warning system using the Arduino UNO and GSM technologies. With its primary goal to develop an IoT-based device system, this project can monitor the forest conditions and send alerts messages or alarms remotely when a fire breaks...