Forests are the major source of oxygen that keep our ecosystem balanced. However, with
rapid economic development, the colossal threat of wildfire also enhances globally …

To reduce the loss induced by forest fires, it is very important to detect the forest fire smoke in
real time so that early and timely warning can be issued. Machine vision and image …

Wildland fires negatively impact forest biodiversity and human lives. They also spread very
rapidly. Early detection of smoke and fires plays a crucial role in improving the efficiency of …

Wildfires are becoming more frequent and their effects more devastating every day. Climate
change has directly and indirectly affected the occurrence of these, as well as social …

One of the most expensive and fatal natural disasters in the world is forest fires. For this
reason, early discovery of forest fires helps minimize mortality and harm to ecosystems and …

Forest fires are a global environmental problem that can cause significant damage to natural
resources and human lives. The increasing frequency and severity of forest fires have …

Forest fires are one of the world's deadliest natural disasters. Early detection of forest fires
can help minimize the damage to ecosystems and forest life. In this paper, we propose an …

Forest fire is a matter of concern as it affects our ecological cycle and incurs a huge
economical loss. There are various sensor-based systems built to detect fire at an early …

Fires in university laboratories often lead to serious casualties and property damage, and
traditional sensor-based fire detection techniques suffer from fire warning delays. Current …

We are suffering direct and indirect damage from forest fires, and it is essential to detect
them early to reduce the damage. Existing forest fire detection methods used a method of …