Predictive Analysis of Snow-slide based on Temperature Monitoring
Dinesh PM1, Pavithran S2, Priyanka S3
1Engineering, Sona College of Technology, Salem, India.
2Pavithran S, Electronics and communication Engineering, Sona College of Technology, Salem, India.
3Priyanka S, Electronics and communication Engineering, Sona College of Technology, Salem, India.
Manuscript received on 19 August 2019. | Revised Manuscript received on 24 August 2019. | Manuscript published on 30 September 2019. | PP: 6327-6330 | Volume-8 Issue-3 September 2019 | Retrieval Number: C6046098319/19©BEIESP | DOI: 10.35940/ijrte.C6046.098319
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© The Authors. 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: Avalanche prediction is a complex process which involves the study and understanding to predict certain parameters that are varying continuously. We predict the output using the decision tree algorithm. We apply this algorithm to the dataset. Dataset is formed by studying the factors affecting avalanche and we fix five parameters which mostly affects the occurrence of avalanche. By applying the decision tree algorithm we will be able to predict the output. Using this we can save the life of people who live in the snow regions. In this, the user should enter the values of the parameters. In future, we can use sensors to determine the value of all the five parameters.
Keywords: Avalanche Prediction using Machine Learning, Snow Slide Prediction.
Scope of the Article: Machine Learning