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Experimental Analysis of Robust Forest Fire Detection for Sustainability

Published: 20 August 2023 Publication History

Abstract

The incidence and severity of wildfires are rising due to climate change and global warming, which might have a growing effect on the Sustainable Development Goals. This research study looks on the creation of a prototype for fire detection in farmlands in GCC nations. After talking about how technology is progressing in this area, a methodology is proposed that speeds up fire detection by combining two techniques: sensor networks installed in fields and a UAV-based system for aerial fire detection. Each of these methods is explained in full, including its technology, operating system, and circuit schematics. Results from tests conducted on this functional prototype are presented to show the efficacy of this strategy.

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The World Health Organization, https://www.who.int/health-topics/wildfires#tab=tab_1, Accessed September 27, 2022
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Institute for European Environmental Policy, 2016, https://ieep.eu/publications/forest-fires-causes-and-contributing-factors-in-europe, Accessed September 27, 2022
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All about the agricultural sector in UAE, https://www.bayut.com/mybayut/all-about-agriculture-uae/, Accessed online, March 24, 2023.
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  1. Experimental Analysis of Robust Forest Fire Detection for Sustainability

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    ICCTA '23: Proceedings of the 2023 9th International Conference on Computer Technology Applications
    May 2023
    270 pages
    ISBN:9781450399579
    DOI:10.1145/3605423
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

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    Published: 20 August 2023

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    Author Tags

    1. Ecological balance
    2. Fire sensor network
    3. Machine learning
    4. UAV

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