Forest Fire Detection: Various Approaches
Parul Mohindru1, Vikshant Khanna2, Rajdeep Singh3
1Parul Mohindru, Department of CSE,Punjab Technical University, Kapurthala, India.
2Vikshant Khanna, Department of CSE & IT, Lovely Professional University, Phagwara, India.
3Rajdeep Singh, Department of CSE,Punjab Technical University, Kapurthala, India.
Manuscript received on April rch 11, 2013. | Revised Manuscript Received on April 12, 2013. | Manuscript published on April 25, 2013. | PP: 68-70 | Volume-1, Issue-6, April 2013. | Retrieval Number: E0213031513/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Forest fire has been a severe risk to the forest capital and individual life from a long time. The threat could effectively be mitigated by timely and precise detection. In past there were many methods used for detection of fires among them were cameras, satellite images method, human observation. Wireless sensor network was introduced to remove the drawbacks of existing techniques. In this paper we will review different papers and will try to find out the advantages and disadvantages of existing techniques.
Keywords: Artificial neural network, Fuzzy logic, Image processing, Intelligent system, Satellite, Wireless sensor networks