부산대학교 도서관

Wildfires are an unavoidable component of the ecology of Earth. They are necessary for the health of the forest environment. Wildfires, on the other hand, are one of the most damaging natural disasters in the world. They contribute to global warming, ruin property, cause major economic losses, and finally kill humans and animals. Previously, artificial intelligence had a key role in wildfire management, according to the study. This paper describes a machine-learning technique for accurately identifying wildfires in real-time. This system has been trained to validate and input photographs of wildfires at all times of day and night. This is linked to existing forest response systems via APIs for waking, resulting in a real-time automatic wildfire detection system. The findings of this study can be expanded by fine-tuning the network to construct wildfire detection systems for diverse geographies and places.