This review aims to critically examine the existing state-of-the-art forest fire detection
systems that are based on deep learning methods. In general, forest fire incidences bring …

Wildfire is one of the most significant dangers and the most serious natural catastrophe,
endangering forest resources, animal life, and the human economy. Recent years have …

Timely detection of forest wildfires is of great significance to the early prevention and control
of large-scale forest fires. Unmanned Aerial Vehicle (UAV) with cameras has the …

Forest fires can destroy forest and inflict great damage to the ecosystem. Fortunately, forest
fire detection with video has achieved remarkable results in enabling timely and accurate …

Modeling and prediction of forest fire occurrence play a key role in guiding forest fire
prevention. From the perspective of the whole world, forest fires are a natural disaster with a …

Forest fires can have severe impacts on both the environment and human communities.
They can cause soil erosion, loss of habitat and biodiversity, as well as the release of carbon …

Object identification, such as tree trunk detection, is fundamental for forest robotics.
Intelligent vision systems are of paramount importance in order to improve robotic …

To overcome the low recognition accuracy, slow speed, and difficulty in locating the picking
points of tea buds, this paper is concerned with the development of a deep learning method …

Fires, regardless of their origin being natural events or human-induced, provide substantial
economic and environmental hazards. Therefore, the development of efficient fire detection …

To improve the performance of the forest fire smoke detection model and achieve a better
balance between detection accuracy and speed, an improved YOLOv4 detection model …