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@article{159070,
        author = {Manasa Ravali N and Deepa P and Deepthy S and Nandini M},
        title = {Forest Fire Prediction Using IoT and Deep Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {11},
        pages = {313-317},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159070},
        abstract = {The most vital component of the planet is its forests. As they give many animals food and shelter. One of the biggest issues facing humans, animals, and plants is forest fires. It harms wildlife, the environment, and living things. A fundamental requirement for reducing the environmental issue is the ability to detect or predict forest fires. This paper provides a general overview of the many methods for locating fire or smoke in the woods. IoT and deep learning-based prediction techniques are proposed. It uses the Pi camera to capture fires. Fire detection using CNN model is effectively proposed. This aids in containing and bringing the forest fire under control.},
        keywords = {Forest fires, Forest fire prediction, sensors, CNN, Deep learning},
        month = {},
        }