Skip to content
Review Open access

Forest fire detection and prediction using Internet of things

2021 · Journal of Science & Technology · 3 citations · 10 references

TL;DR

The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques, and to anticipate how a fire will progress by monitoring temperature, humidity, and other factors.

Abstract

Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.

Read PDF

Similar papers

Aug 2026

An integrated internet of things and machine learning framework for real-time wildfire monitoring and prevention

Forest fires are among the most destructive natural hazards, posing significant threats to ecosystems, infrastructure, and human life. In Mediterranean regions such as Algeria, the frequency and intensity of wildfires have increased due to climate change and human activities. This article proposes a cloud-centric hybri...

Ali Kourtiche, Souad Belhia, Mahmoud Fahsi et al. · 0 citations
Sep 2026

Forecasting Cyber-Attacks Using Machine Learning Models in IoT Environment

Wildfires constitute a major environmental hazard, causing severe damage to forest ecosystems, biodiversity, infrastructure, and human life. Early and reliable wildfire detection is therefore essential to limit fire propagation and support rapid emergency response. However, conventional detection approaches based on hu...

Ikbel Mejri, Soumaya Azzouni, A. Zrelli et al. · 0 citations
Aug 2026

Assessment of Forest Fire Impacts on Human Health and Natural Resources using Remote Sensing

As forest fires become more common, they are becoming a growing issue to ecosystem stability, deterioration of natural resources, and human health due to loss of vegetation, degradation of land, thermal alteration and air pollution. This work introduces a remote-sensing approach for quantifying environmental and health...

N. More · 0 citations
Open access Sep 2026

INA-FOREWS: An IoT-Based Multi-Site Indonesia Forest Fire Early Warning System with Real-Time Risk Assessment and Alert Capabilities

Despite the limitations of existing forest fire detection solutions, this study proposes the development of an IoT-based INA-FOREWS system to enhance real-time monitoring and risk assessment capabilities in Indonesia's tropical forests. The system aims to mitigate the impacts of forest fires and support progress toward...

Tonny Wahyu Aji, Ahmad Meijlan Yasir, Putri Chairuniza · 0 citations

THINGS (IoT)

Agustina Anggarani, Tino Feri Efendi · 0 citations
Review Open access Sep 2026

Comparative Review of Intelligent Flood Monitoring and Risk Assessment Systems: An IoT–Random Forest Perspective

Flooding remains one of the most destructive natural hazards worldwide, causing significant loss of life, damage to infrastructure, and socioeconomic disruption. Recent advances in the Internet of Things (IoT), wireless communication, and machine learning have enabled the development of intelligent flood monitoring sys...

Nataram Odumo, Bright Curthbert Epelle · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.