Ramasamy, R Kanesaraj and Fang, Fang Chua and Gaik, Yee Chan (2018) Cloud-Based Early Warning System for Forest Fire using IoT Techniques. In: Knowledge Management International Conference (KMICe) 2018, 25 –27 July 2018, Miri Sarawak, Malaysia.

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Abstract

A forest fire is a national hazard which happens almost every year in Malaysia. Millions of Ringgit is used to save the life stocks and also the villagers around the affected areas. Although many traditional methods have been used to prevent the fire merely based on experience, no accurate plan is being implemented. Some systems are able to provide warning using historical data, but they are yet to provide an evacuation map. Hence, in this paper, we propose a cloud-based early warning system for a forest fire.The proposed system shall be able to provide warning to the firefighters before the fire starts. Additionally, it shall provide an evacuation plan for both the firefighters and also the villagers.Through the use of such a forest fire warning system coupled with an evacuation plan,life, property and environment damage could be reduced to a minimum

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	ISBN: 978-967-0910-87-1 Organized by: School of Computing, College of Arts and Sciences, Universiti Utara Malaysia.
Uncontrolled Keywords:	Forest Fire, Early Warning, cloudbased System.
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	School of Computing
Depositing User:	Mrs. Norazmilah Yaakub
Date Deposited:	21 Nov 2018 02:02
Last Modified:	21 Nov 2018 02:02
URI:	https://repo.uum.edu.my/id/eprint/25199

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