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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19604

FOREST FIRE PREDICTION USING MACHINE LEARNING TECHNIQUES

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19604

Volume:

7 |

4 |

Apr 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

K

Kanimozhi.V

AV

ARUNKUMAR V

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Abstract

Fire accidents are among the most frequent forms of mishaps that have a major impact on society. Significant loss of life and property has also occurred as a result of fire accidents. To minimize the loss of life and property in such accidents, an effective detection system is necessary. There are several similar systems in operation, but they are not nearly as efficient as is required. Therefore, we have proposed a new system that is a web application to detect fire. We are utilizing machine learning techniques to make it reliable and effective. The system includes brightness classification in addition to image processing and histogram-based segmentation. They’re all made to increase precision while also making

KEYWORDS

Machine Learning KNN Random Forest and Support Vector Machine

Cite This Article

Kanimozhi.V, ARUNKUMAR V, "FOREST FIRE PREDICTION USING MACHINE LEARNING TECHNIQUES," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19604

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Publication Date

3/5/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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