The primary goal of the proposed architecture is to develop advanced architecture for early detection of forest fires that integrates sensor networks and mobile (drone) technologies for data collection and processing. Unmanned air vehicles (UAVs) will allow coverage of larger areas to raise the percentage of forest fires detections, monitor areas with high fire weather index and such already affected by forest fires. All information is forwarded and stored in cloud computing platform where near real-time processing and alerting is performed.
CITATION STYLE
Andreev, I. (2018). Advanced open IoT platform for prevention and early detection of forest fires. In Advances in Intelligent Systems and Computing (Vol. 747, pp. 319–329). Springer Verlag. https://doi.org/10.1007/978-3-319-77700-9_32
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