UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 4
April-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2104239


Registration ID:
308065

Page Number

297-299

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Title

A Survey Paper on Forest Fire Prediction using Convolution Neural Network

Abstract

Real-time object detection to enhance surveillance methods is one among the sought-after applications of Convolution Neural Networks (CNNs). This research work has approached the detection of fireside and handguns in areas monitored by cameras. This paper also studies the effects of climatology data: temperature, relative humidity, wind speed and daily precipitation on the risk of forests fire occurrence. These impacts urge the modification of certain techniques that could help to predict fires and thus avoid their happening. Artificial Neural Networks have been utilized for the purpose. We have studied the effects of both the number of neurons in the hidden layer and the training technique on the network’s performance and the mean squared error. This is an demonstration of the good acquisition of such network in adopting its predicting decision. In this paper comprehensive survey on various machine learning techniques used for fire prediction is presented.

Key Words

Machine learning, Fire Prediction, Data mining, forest firefighting, formation control, Neural Network, Surveillance System, Wireless Sensor Network(WSN). Convolution Neural Network(CNN)

Cite This Article

"A Survey Paper on Forest Fire Prediction using Convolution Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.297-299, April-2021, Available :http://www.jetir.org/papers/JETIR2104239.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"A Survey Paper on Forest Fire Prediction using Convolution Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp297-299, April-2021, Available at : http://www.jetir.org/papers/JETIR2104239.pdf

Publication Details

Published Paper ID: JETIR2104239
Registration ID: 308065
Published In: Volume 8 | Issue 4 | Year April-2021
DOI (Digital Object Identifier):
Page No: 297-299
Country: Akurdi, Maharashtraa, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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