Issue |
E3S Web Conf.
Volume 391, 2023
4th International Conference on Design and Manufacturing Aspects for Sustainable Energy (ICMED-ICMPC 2023)
|
|
---|---|---|
Article Number | 01155 | |
Number of page(s) | 7 | |
DOI | https://doi.org/10.1051/e3sconf/202339101155 | |
Published online | 05 June 2023 |
Forest Fire Detection with GPS using IoT
1 Department of AIMLE, GRIET, Hyderabad, Telangana, India
2 UG Student, Department of CSBS, GRIET, Hyderabad, Telangana, India
* Corresponding author: arun1700@grietcollege.com
Today's developing world makes environmental protection absolutely necessary. Numerous natural and man-made disasters were happening all around the planet. Forest fires are one such environmental catastrophe. Once it starts, the fire in the dense forest quickly engulfs the entire region, consuming everything in its path and igniting everything. On hot days, fire spreads more easily due to the dry conditions, decimating the grasses and trees in forested areas. To protect the ecosystems of the forest's flora and fauna, such forest fire calamities must be diminished. The objective of this endeavour is to create and put into use an Internet of Things (IoT)-based system that can anticipate and identify forest fires, alert the appropriate authorities to their specific location, and help firefighters put out the fire when it first starts. This would prevent the fire from engulfing a big area and allow for the implementation of preventative measures to put out any fires that might start in the near future.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.