INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Rapid detection · NodeMCU · Global System for Mobile Communications(GSM) · Internet of Things (IoT)
Cite Article:
"NodeMCU - Based Forest Fire Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 3, page no.a94-a97, March-2024, Available :http://www.ijnrd.org/papers/IJNRD2403008.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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