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  • 标题:Forest Fire Prediction using Meteorological Data
  • 本地全文:下载
  • 作者:Kalyan Bamne ; Pratik Agarwal ; Avinash Singh
  • 期刊名称:International Journal of Advances in Engineering and Management
  • 电子版ISSN:2395-5252
  • 出版年度:2021
  • 卷号:3
  • 期号:6
  • 页码:779-783
  • DOI:10.35629/5252-0306661663
  • 语种:English
  • 出版社:IJAEM JOURNAL
  • 摘要:Forest fire is one of the major threats that our world is facing right now. It creates ecological imbalance affecting our flora and fauna. There has been so many tools and methods to prevent forest fire but most of them are costly and need high maintenance, and this is reason lots of forest still rely on manpower to prevent and detect forest fire. Our project is built on Canadian FWI system which require meteorological and geographical data to predict fire, Meteorological and Geographical data can be easily collected. There are lots of agencies collecting these data. Forest department can take data from it. Once we have these data, we can analyse these data and use our SVM model to predict forest fire in that area.
  • 关键词:FWI;SVM;Forest Fire
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