Monitoring and early warning technology for forest fires is crucial. An early
warning/monitoring system for forest fires was constructed based on deep learning and the …

Large parts of the world's forests are threatened by fires. These fires happen continuously
every month around the globe. They are very costly to society and cause serious damage to …

Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …

Global warming is raising the earth's temperature, and resulting in increased forest fire
events, especially in tropical regions with locations that are at high risk of wild and forest …

Forest fires cause great harm to people, environment, and nature. Fire detection using forest
landscape images can play a critical role in the design of expert systems required to solve …

Forests are indispensable links in the ecological chain and important ecosystems in nature.
The destruction of forests seriously influences the ecological environment of the Earth …

The occurrence of fire leads to unparalleled loss of resources as well as human life and
hence, fire detection systems must be trustworthy and less erroneous. Real-time assessment …

The unmanned aerial vehicle network (UAV-net) has been attracting substantial attention as
a solution of wildfire surveillance. Application of federated learning (FL) for the UAV-net can …

Vegetation fires are most common in South and Southeast Asian countries, including
Indonesia. In addition to anthropogenic causes, climate change in the form of droughts is the …

Raising of temperature due to global warming impacted to the number of fires hotspot
globally, in tropical region some of the places a high risk such as wildfire. Fire in Indonesia is …