Soft Computing Techniques for Prediction of Forest Fire Occurrence in Brunei Darussalam

Muhammad Iskandar Hanafi Bin Pengiran Haji Zahari, Rama Rao Karri, Mohamed Hasnain Isa, El Said Mamdouh Mahmoud Zahran, S. M. Shiva Nagendra

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

Abstract

Forest fires are destroying wildlife habitat and pollutes air with emissions dangerous to human health. Increased carbon dioxide in the atmosphere by the wildfire contributes to the greenhouse effects and climate change. The ashes remove a lot of nutrients and eroded soils, causes landslides and flooding. Brunei Darussalam rich in biodiversity and tropical forest resources is increasingly recording more forest fires every year. These fires destroy the precious forest resources of the country, degrade the environmental quality particularly deteriorate air quality and cause significant economic loss in terms of property, infrastructure and possess threat to human health as well as ecosystem. Therefore, the objective of the study is to analyze the forest fire contributors such as topographic, human factor, climate, ignition factor, and vegetation and use a soft computing technique (machine learning) to classify the possible of occurrence.

Original languageEnglish
Title of host publication8th Brunei International Conference on Engineering and Technology 2021
EditorsMohammad Yeakub Ali, Rama Rao Karri, Shahriar Shams, Roslynna Rosli, Ena Kartina Abdul Rahman, Ramesh Singh
PublisherAmerican Institute of Physics Inc.
ISBN (Electronic)9780735442795
DOIs
Publication statusPublished - 10 Jan 2023
Externally publishedYes
Event8th Brunei International Conference on Engineering and Technology 2021, BICET 2021 - Bandar Seri Begawan, Brunei Darussalam
Duration: 8 Nov 202110 Nov 2021

Publication series

NameAIP Conference Proceedings
Volume2643
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616

Conference

Conference8th Brunei International Conference on Engineering and Technology 2021, BICET 2021
Country/TerritoryBrunei Darussalam
CityBandar Seri Begawan
Period8/11/2110/11/21

Keywords

  • artificial neural network
  • contributing factors
  • Forest fires
  • soft computing techniques
  • support vector machine

ASJC Scopus subject areas

  • General Physics and Astronomy

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