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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) |
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| Paper Title: | NodeMCU - Based Forest Fire Detection |
| Authors Name: | Mrs.P.Divya , Mr.B.Akash , Mr.A.Abdul Nasar |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJNRD_212312
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| Published Paper Id: | IJNRD2403008 |
| Published In: | Volume 9 Issue 3, March-2024 |
| DOI: | |
| 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. |
| 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 |
| Downloads: | 000118804 |
| 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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Published Paper ID:IJNRD2403008 Registration ID: 212312 Published In: Volume 9 Issue 3, March-2024 DOI (Digital Object Identifier): Page No: a94-a97 Country: Villupuram, Tamilnadu, India Research Area: Computer Engineering Publisher : IJ Publication Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2403008 Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2403008 |
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ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
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