Early Forest-Fire Detection by Linear Regression, Ridge Regression And Lasso Regression

Forest fires are the wildfires that grow uncontrollably, burning plants, animals, grassland and bushlands. For reducing the losses caused by the disaster an effective fire detection device is required. The main agenda of This research will provide a model for early detection. of forest fire. Previously many methods were proposed for the detection such as Neural network model, Three dimension otsu method, NMDI methodology and many more, As we can see there are certain limitations for all these methods. We have implemented certain methodology such as Ridge regression, Lasso regression and Linear regression, equations and the methodology used in this system is studied and implemented during this study. Thus all these three systems demonstrate the required solution for the problem with a good percentage of accuracy,