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 continue to present a significant challenge globally, causing extensive damage to ecosystems, biodiversity, and human lives. Timely prediction of forest fires is crucial for effective mitigation and proactive firefighting efforts.
In this study, we propose a unique approach utilizing machine learning techniques to enhance forest fire prediction accuracy. By integrating various environmental factors and historical fire data, our model aims to provide precise predictions, enabling authorities to take proactive measures to prevent and mitigate forest fires.
Keywords:
Joblib, NumPy, ML Model, Predict_proba, Error Handling
Cite Article:
"Leveraging Machine Learning for Precise Forest Fire Prediction", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.9, Issue 4, page no.g765-g767, April-2024, Available :http://www.ijnrd.org/papers/IJNRD2404696.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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