IoT and Machine Learning for Identifying Correlation between Factors Causing Climate Change

Gajendra Sharma (Department of Computer Science and Engineering, Kathmandu University, Dhulikhel, Nepal)
Birat Bade (Department of Computer Science and Engineering, Kathmandu University, Dhulikhel, Nepal)

Article ID: 2020



The global climate is changing due to anthropogenic activities such as industrialization, infrastructure development, deforestation etc. Expected effects of climate change include increase in global temperatures, rising sea levels, changing precipitation, melting of glaciers, less snowfall, expansion of deserts etc. Most ecosystems are affected by manmade climate change and Mount Everest is no exception. This paper delves into the effects of global warming on Mount Everest and how Internet of Things (IOT) can be used to correctly monitor these effects. The IOT system will take three parameters temperature, carbon parts per million in the atmosphere and snowfall. This research paper also proposes a IOT framework to measure the net snowfall. The data gathered by the IOT system will be used to create a model will be created to monitor the effect of temperature and carbon parts per million on snow fall.


IOT;Machine Learning;Climate Change

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