Abstract
Forest fires are becoming increasingly frequent and severe due to rising global temperatures driven by climate change, often escalating from small incidents to widespread destruction. This project addresses the critical challenge of controlling and extinguishing these fires by proposing the use of IoT-based sensors for early detection. The system deploys sensors in forested areas to detect initial signs of fire, such as temperature spikes and smoke. Once these signs are detected, the system triggers alarms and sends immediate notifications to authorities and nearby residents, facilitating a rapid response that significantly reduces the risk of large-scale damage. In addition to forested areas, this innovative technology can be applied to other fireprone locations, such as agricultural farms, where early detection is crucial for protecting crops and preventing economic losses. The IoT-based sensors offer a reliable early detection system that enhances fire management practices, enabling quicker and more effective interventions. The ultimate goal of this project is to mitigate the adverse impacts of forest fires by providing a robust and proactive approach to fire detection and management. By safeguarding both the environment and local communities, this system contributes to the overall safety and resilience of vulnerable regions. It represents a significant advancement in the field of fire management, leveraging modern technology to address a pressing global issue. Through the deployment of these sensors, the project not only aims to prevent the extensive destruction caused by forest fires but also to offer a scalable solution that can be adapted to various environments, promoting sustainability and economic stability across different sectors.
Metadata
| Item Type: | Book Section |
|---|---|
| Creators: | Creators Email / ID Num. Mohd Isha, Hani Safwan UNSPECIFIED Zakaria, Nurul Azma UNSPECIFIED Zainal Abidin, Zaheera 2010271824 Kasbudi, Muhammad Zaid UNSPECIFIED |
| Subjects: | S Agriculture > SD Forestry T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Detectors. Sensors. Sensor networks |
| Divisions: | Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Computing, Informatics and Mathematics |
| Volume: | 2 |
| Page Range: | pp. 184-187 |
| Keywords: | IoT-based sensors, Forest fires, Fire management, Early detection, Wildfire prevention |
| Date: | 2024 |
| URI: | https://ir.uitm.edu.my/id/eprint/135109 |
