Paper Contents
Abstract
Over the last few decades, deforestation and climate change have caused an increasing number of forest fires. This is a serious environmental issue that threatens the landscape's natural resources, disrupts the ecosystem's stability, raises the risk of other natural disasters, and depletes resources like water, which contributes to global warming and water pollution. forest blaze Controlling Forest fires relies heavily on prediction. Forest fire forecasting is predicted to lessen the impact of forest fires in the future. In order to model fire threat using data, this study uses data-mining techniques regarding, topography, climate, and some other fire-danger influencing factors. The classification techniques used in this work include Support Vector Machine, Decision Tree, and Random Forest (RF).By managing land use, planning, and making wise decisions, forest managers can utilize this process to identify the places that pose the greatest fire risk and prevent future fires..
Copyright
Copyright © 2023 koruprolu Bhargavi. This is an open access article distributed under the Creative Commons Attribution License.
