Deep Learning-Based Early Forest Fire Detection System for Environmental Disaster Management

Key Points

• The central aim is to evaluate a deep learning-based system for the early detection of forest fires and its application in environmental disaster management.
• Developed a deep learning model for forest fire detection
• Evaluated effectiveness through simulations
• Integrated teaching programs related to waste management
• The deep learning model demonstrated high accuracy in detecting forest fires
• Teaching programs improved waste management knowledge among participants