Forest Wild Fire Detection using Deep Learning Approach

Disasters are happening inrecent times around the world. One of the major disasters which have drawn the most attention is the large area fires, especially forest areas. Forest fires can occur naturally and also sometimes by humans. Forest Fires just does not harm the plants and trees of the forest, but also the animalsliving in the forest. It also affects the nearby places where humans live since smoke, carbon dioxide and carbon mono-oxide concentration increase inthe atmosphere which can lead to several health problems such as respiratory problems. We can detect the fire by deploying various wireless sensor nodes in the forest areas by which they sense the fire and can inform us, so that we can control the damage to be done by forest fire. We can increase the efficiency of discovery exhausting different approaches on the information collected by various wireless sensor nodes. In this report we will compare some of the machine learning techniques used by researchers with wireless sensor nodes in predicting forest fire.