Machine Learning-Based Forest Fire Forecasting: Mitigating Environmental Hazards

Forest fires, or wildfires, are natural phenomena that have shaped ecosystems for ages. They result from both natural causes like lightning and human factors such as campfires or arson. While some fires are beneficial, maintaining biodiversity and nutrient cycling, human-induced fires can have devastating consequences. They can lead to habitat loss, worsen air quality, release carbon emissions, and cause economic damage. Notable historical events, like the Great Fire of 1910 and the 2019 Amazon Rainforest fires, illustrate the far-reaching impacts of these fires, emphasizing the need for comprehensive fire management in the face of evolving climate patterns. This research aimed at developing a robust machine learning model for early detection of forest fires, has made noteworthy progress. Recent efforts have led to a substantial increase in prediction accuracy through