Experimental Analysis of Robust Forest Fire Detection for Sustainability

Qurban A. Memon; Bethel Wodajo; Aryam Alshamsi; Shaikha Alshamsi; Amna Alshebli

doi:10.1145/3605423.3605460

Experimental Analysis of Robust Forest Fire Detection for Sustainability

Qurban A. Memon, Bethel Wodajo, Aryam Alshamsi, Shaikha Alshamsi, Amna Alshebli

Department of Electrical and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	ICCTA 2023 - 2023 9th International Conference on Computer Technology Applications
Publisher	Association for Computing Machinery
Pages	91-96
Number of pages	6
ISBN (Electronic)	9781450399579
DOIs	https://doi.org/10.1145/3605423.3605460
Publication status	Published - May 10 2023
Event	9th International Conference on Computer Technology Applications, ICCTA 2023 - Vienna, Austria Duration: May 10 2023 → May 12 2023

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	9th International Conference on Computer Technology Applications, ICCTA 2023
Country/Territory	Austria
City	Vienna
Period	5/10/23 → 5/12/23

Keywords

Ecological balance
Fire sensor network
Machine learning
UAV

ASJC Scopus subject areas

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/3605423.3605460

Cite this

Memon, Q. A., Wodajo, B., Alshamsi, A., Alshamsi, S., & Alshebli, A. (2023). Experimental Analysis of Robust Forest Fire Detection for Sustainability. In ICCTA 2023 - 2023 9th International Conference on Computer Technology Applications (pp. 91-96). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3605423.3605460

Experimental Analysis of Robust Forest Fire Detection for Sustainability. / Memon, Qurban A.; Wodajo, Bethel; Alshamsi, Aryam et al.
ICCTA 2023 - 2023 9th International Conference on Computer Technology Applications. Association for Computing Machinery, 2023. p. 91-96 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Memon, QA, Wodajo, B, Alshamsi, A, Alshamsi, S & Alshebli, A 2023, Experimental Analysis of Robust Forest Fire Detection for Sustainability. in ICCTA 2023 - 2023 9th International Conference on Computer Technology Applications. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 91-96, 9th International Conference on Computer Technology Applications, ICCTA 2023, Vienna, Austria, 5/10/23. https://doi.org/10.1145/3605423.3605460

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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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Experimental Analysis of Robust Forest Fire Detection for Sustainability

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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