Climatic conditions, vegetation type, human activities, and IT tools and technology aid in predicting forest fires. They use factors such as weather patterns, vegetation health, human activities, and technology applications like satellite imagery and machine learning to monitor and predict high-risk areas. The data gathered is analyzed and used for predictive modeling, factors like wind speed and direction considered, and then integrated into Geographic Information Systems (GIS) to produce comprehensive forecasts. Despite these advancements, human activities and alertness are fundamental in controlling and preventing forest fires.