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@article{152293,
        author = {Shreya Soni and Satyansh Rai and Riya Bajpai and Deepak Kumar},
        title = {Advanced Forest Fire Prediction And Detection Using Arduino UNO By IOT},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {2},
        pages = {804-807},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=152293},
        abstract = {The major cause of destruction of archaeological and cultural heritage sites, especially in the Mediterranean region is wildfires. The site here are destroyed and tended for a very long periods of time, which are usually surrounded by an old and valuable vegetation or situated close to forest regions. The sudden increase in seasonal temperatures has caused an explosion in the number of self-ignited fires in forested areas. Extreme weather conditions such as storms or floods are also the cause of great risk for these sites. The major concern of Forest fire is that, it is getting worse day by day which can be detected and predicted using micro-controller Arduino UNO based on IOT. In this project, all the sensors are interfaced with Arduino which detects the temperature and humidity produced from the fire. Values are gathered from all the Sensors and are uploaded to the cloud  i.e. in Thingspeak. and monitored from the camera on the local web server i.e. Chrome },
        keywords = {Arduino-UNO, Humidity Sensor, Cloud, IOT, Thingspeak.},
        month = {},
        }