Forest Fire Detection and Prediction for Alert Generation and Safety Measure release_2hrikfvhdrhztd4kiwpkmkcduy

by Satya Sai Saalini Lanka

Published in International Journal for Research in Applied Science and Engineering Technology by International Journal for Research in Applied Science and Engineering Technology (IJRASET).

2021   Issue VI, p4510-4515

Abstract

Forest is an important asset of this world as it creates ecological balance and provides several resources that are helpful to mankind. It is important to preserve the forest areas. Fire is one of the most dangerous threats to the forest. Every year number of forest areas reported to catch fire. Many areas in forest are still not on surveillance to provide information of fire. Thus it spreads over large area and destroys forest. Amazon fire is recently occurred fire. In this project a prototype is designed such that it will detect and inform about the occurrence of fire at distant location. The system proposed in this project comprises of two sensors, namely smoke and fire. These sensors detect change in small measurable physical quantity and help within the early detection of a fire. Large number of self powered monitoring units are placed over the forest area. In this project a single unit with reporting system is presented and evaluated.
In application/xml+jats format

Archived Files and Locations

application/pdf  1.1 MB
file_ncyiuh4drnheraoe4hnwxz2xoe
www.ijraset.com (publisher)
web.archive.org (webarchive)
Read Archived PDF
Preserved and Accessible
Type  article-journal
Stage   published
Date   2021-06-30
Journal Metadata
Open Access Publication
Not in DOAJ
In ISSN ROAD
Not in Keepers Registry
ISSN-L:  2321-9653
Work Entity
access all versions, variants, and formats of this works (eg, pre-prints)
Catalog Record
Revision: 68e96f14-9c50-4c31-bee0-edb0ec78e30b
API URL: JSON