ML Based Forest Fire Prediction and Forest Enviroment Monito

Every year we lost a large number trees , herbs , shrubs ,and many animal species due to forest fire also we the forest size getting smaller due to illegal logging of trees in forest . It takes a hundreds of years to naturally grow a forest protect the forest but every year we lost a large number natural resources and forest due to forest fire . Most of the forest fires either cause due to high dryness and temperature rise in forest. As we know for sustainable and to reduce our carbon footprint we need to protect the forest because it contain a diverse amount of natural resources from herbs to medical plants to woods and animals. So we need to to reduce the loss f this important natural resource with technology. We protect a large number of accidents and losses of forest with technology and predicting the forest fire before it actually takes place

Here we use the sensors available in Nordic Thingy collect the data of forest environment like the sounds , temperature rise and fall and humidity etc and we create the ML model using this data as we know main cause of forest fire is high dryness and high temperature so our devices connected to each other captures these data the humidity ,sound , temperature , sun light and other data and predicts if the environment is very dry and temperature is very high that might cause forest fire once the prediction and possible hot spot area where the forest fire might cause the drone and plane with a water tank moisture those area with water spray so the dry leafs and other highly dry area with very high temperature which possible cause forest fire get wet and stop the forest fire before it cause.

Deploying and Predicting Forest Fire

Now you can put the nRF Nordic Thingy device in deep forest and attach it to any tree and it start showing the output based on its ML model and prediction. When ever it detect the very high bright sun light and very dery and high temperature nearly the 49 to 50 degree centigrate it shows you the forest firs likely to couse and notify you regarding that hotspot area on the app now you use the drones with water tank to wet those area so the dry grasses and leafs do not cat fire and they get wet due to humidity cause due to spray of water droplets