Internet of Things-based system for early detection and prevention of forest fires: an innovative approach to sustainable management of vulnerable ecosystems
Keywords:
Internet of Things, IoT systems, forest fires, environmental sensorsAbstract
Wildfires have become an increasingly alarming global problem due to the combined impact of human activities in forested areas and the effects of climate change. In recent decades, the frequency and intensity of these events have increased significantly, causing irreversible damage to ecosystems and putting lives and property at risk. In response, scientific research has focused its efforts on developing technological solutions capable of detecting fires in their early stages, maximizing reaction time to mitigate their effects. This motivated us to investigate an approach to address this critical problem. In this article, we propose a system that uses Internet of Things (IoT)-based sensors to monitor critical environmental variables such as temperature, relative humidity, and CO2 concentration in real time, enabling early detection of conditions conducive to wildfires. The proposed system significantly improves fire prevention and response, generating a positive impact on environmental safety. Furthermore, the research validates the feasibility of using IoT in environmental emergency management, positioning it as a replicable model. The experimental results confirm the effectiveness of the proposed approach in the early detection of fire symptoms, contributing to the sustainability of vulnerable ecosystems.
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Copyright (c) 2025 Anthony Limber Morán-Cabezas, Bryan Steven Lara-Castro, Jefferson Leandro Moran-Cabezas, Andres Alexander De La Torre-Macias
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