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Research Paper
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Paper Title

NodeMCU - Based Forest Fire Detection

Article Identifiers

Registration ID: IJNRD_212312

Published ID: IJNRD2403008

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Keywords

Rapid detection · NodeMCU · Global System for Mobile Communications(GSM) · Internet of Things (IoT)

Abstract

Forest fires represent a grave threat to the environment, human lives, and property. Rapid detection is critical for effective mitigation and containment. To address this challenge, we propose a Forest Fire Detection System that harnesses the capabilities of IoT and Machine Learning to bolster early warning and response mechanisms, thus minimizing the destructive impact of forest fires.An economical and effective solution is provided by the NodeMCU- based forest fire detection system. This system utilizes NodeMCU, a low-cost, Wi-Fi-enabled microcontroller, to continuously monitor environmental conditions and detect potential fire outbreaks in real-time. It uses a variety of sensors, such as smoke and temperature sensors, to collect information from the forest environment. The NodeMCU quickly processes and analyzes the gathered data before sending alarms via Wi-Fi or GSM communication to the appropriate authorities and a central monitoring system, guaranteeing a swift response in case of a fire.The system is designed with energy efficiency and environmental sustainability in mind, making it well-suited for deployment in remote and ecologically sensitive areas. The fire sensor detects forest fires and promptly sends SMS alerts to forest authorities and the fire station, establishing a robust early warning system that facilitates swift action to forest fires can be avoided and controlled, eventually protecting people, property, and the environment.

How To Cite (APA)

Mrs.P.Divya, Mr.B.Akash, & Mr.A.Abdul Nasar (March-2024). NodeMCU - Based Forest Fire Detection. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(3), a94-a97. https://ijnrd.org/papers/IJNRD2403008.pdf

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Other Publication Details

Paper Reg. ID: IJNRD_212312

Published Paper Id: IJNRD2403008

Downloads: 000122256

Research Area: Computer Engineering 

Author Type: Indian Author

Country: Villupuram, Tamilnadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2403008.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2403008

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Call For Paper - Volume 10 | Issue 12 | December 2025

IJNRD is a Scholarly Open Access, Peer-Reviewed, Refereed, and UGC CARE Journal Publication with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost, and Transparent Peer Review Journal Publication that adheres to the UGC CARE 2025 Peer-Reviewed Journal Policy and aligns with Scopus Journal Publication standards to ensure the highest level of research quality and credibility.

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Current Issue: Volume 10 | Issue 12 | December 2025

Impact Factor: 8.76

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