Wild fire prediction using machine learning models

Wildfires can be very destructive and can cause a great loss to human life and property. The United States have witnessed an estimated loss of 13.7 billion dollars’ worth of economic losses from 2002 till 2011 due to wild Fires. Moreover countries of Southern Europe (i.e. Italy, Spain, and Portugal) have witnessed increased wildfires during last decade. Deforestation poses a major risk to the environment and wild Fires causes an unprecedented increase in Deforestation by increasing the burned area along with burning of trees, plants which is very vital to maintain a healthy environment. Moreover deforestation causes flooding and mud sliding thereby have an adverse impact on the ecosystem. Hence this study focusses on building wild fire prediction model based on machine learning that will facilitate to take precautionary measures in order to minimize the losses to human life and property.