Forest Fire Detection and Prediction for Alert Generation and Safety Measure
release_2hrikfvhdrhztd4kiwpkmkcduy
by
Satya Sai Saalini Lanka
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) |
article-journal
Stage
published
Date 2021-06-30
Open Access Publication
Not in DOAJ
In ISSN ROAD
Not in Keepers Registry
ISSN-L:
2321-9653
access all versions, variants, and formats of this works (eg, pre-prints)
Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar