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- W4366964186 abstract "A forest fire has a profound impact on wildlife, atmospheric, economic and ecosystem structure. The ever-increasing average global temperature and climate change have increased the frequency and magnitude of forest fires. The cause of forest fires can be natural as well as human-caused. This research focuses on the detection technique through which a wildfire incident can be reported as early as possible. In this work, an alert about a forest fire/wildfire is created as soon as it takes place and then spread the news to the world. This aims to solve the negligence of the forest fires taking place and the lack of any specific alerting mechanism of the same. In result analysis, the study proves that the system works with good accuracy once the image has been uploaded by a user. This work only focuses on the detection mechanism of forest fires/wildfires by creating alerts of those incidents and uploading them to Twitter." @default.
- W4366964186 created "2023-04-26" @default.
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- W4366964186 date "2023-01-01" @default.
- W4366964186 modified "2023-09-25" @default.
- W4366964186 title "Incident Reporting of Forest Fire with Azure Cognitive Services and Twitter API" @default.
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- W4366964186 doi "https://doi.org/10.1007/978-981-19-9858-4_78" @default.
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