Abstract
Wildfires and the extent of the damage and destruction they leave behind are well known. Due to the limitations of manual methods for monitoring fires, there is an urgent need to develop automated methods for them. In recent years, there has been significant development of vision systems for fire detection. This article presents a method for identifying fire and smoke using fuzzy logic image processing to achieve efficient and early detection of forest fires. The fuzzy logic-based fire detection method is designed to detect and segment areas of flame and smoke in visual images captured by a camera on board an unmanned aerial vehicle (UAV). The model has been tested on a wide range of aerial images containing areas of fire and smoke and has shown good performance up to 95 % accu- racy.