Paper Title
Integrated System of Wireless Sensor Networks and Machine Learning for Early Forest Fire Detection and Control
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Registration ID: IJNRD_220709
Published ID: IJNRD2405167
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Keywords
Forest Fires, Wireless Sensor Networks, Machine Learning, Early Detection, Rechargeable Batteries, Solar Power, Sensor Node Design.
Abstract
Forest fires represent a critical threat to both natural ecosystems and human populations, necessitating effective early detection and mitigation measures. This paper presents a comprehensive approach that combines wireless sensor networks (WSNs) and machine learning to improve forest fire detection systems. By deploying sensor nodes strategically throughout forests to monitor key environmental variables such as temperature, humidity, and smoke levels, our system employs advanced machine learning algorithms to discern between normal environmental fluctuations and potential fire events. Through extensive data collection and analysis, we achieved remarkable training accuracy of 98% and testing accuracy of 92%. The integration of WSNs and machine learning offers significant advantages including improved early detection capabilities, reduced false alarms, faster response times, and enhanced control over forest fires. This study represents a significant advancement in forest fire detection technology, providing a promising solution for effective forest management and protection against the devastating effects of forest fires.
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How To Cite (APA)
Tandasa Niriksha, Jubilee Sarma, Ritisha Nayak, Soumya Dewangan, & Akanksha Mishra (May-2024). Integrated System of Wireless Sensor Networks and Machine Learning for Early Forest Fire Detection and Control. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(5), b527-b534. https://ijnrd.org/papers/IJNRD2405167.pdf
Issue
Volume 9 Issue 5, May-2024
Pages : b527-b534
Other Publication Details
Paper Reg. ID: IJNRD_220709
Published Paper Id: IJNRD2405167
Research Area: Computer Science & TechnologyÂ
Author Type: Indian Author
Country: Jharsuguda, Odisha, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2405167.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2405167
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