Forest Fire Prediction And Management Using Machine Learning And Reliability Models

Abstract

Devastating natural calamities, forest fires result in significant environmental damage, fatalities, and financial difficulties. To lessen these negative effects, forest fires must be predicted and managed effectively. With the help of tabular data, coding examples, and references to the most recent studies in the area, this study investigates the use of machine learning (ML) and dependability models in the prediction and management of forest fires.