10.46243/jst.2021.v6.i04.pp653-665 registered
Forest fire detection and prediction using Internet of things
Resolves to https://www.jst.org.in/index.php/pub/article/view/687
Held by Longman Publishers (India) · prefix 10.46243 live · DOI address https://doi.org/10.46243/jst.2021.v6.i04.pp653-665
Registered 29 Sep 2026 via crossref · record version 2 · last change 29 Sep 2026, 11:59 PM · record sha256 55df6b85073f3658…
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What the DOI identifies
JournalArticle — an article in a journal · Digital · Visual · en
Forest fire detection and prediction using Internet of things (PrincipalTitle)
Published 2021-08-16
Part of Journal of Science & Technology · ISSN 2456-5660 · volume 06 · issue 01 · pages 653–665
Agents
- Dinesh H. Burnade (author)
- Kaushal Jain (author)
- Bhavani Sutar (author)
- Longman Publishers (publisher)
Identifiers DOI 10.46243/jst.2021.v6.i04.pp653-665
Abstract
Forest fires pose a serious threat to ecologically sound forests and environmental protection Also, loss of life and considerable natural individual properties, adding hundreds of houses and thousands of hectares of wilderness 80% of fire-related costs could have been avoided if the fire had been discovered sooner. Forest fires become worse and can be detected and forecast with IoT-based NodeMCU. The study is an honest attempt to comprehend the current system, studying various factors affecting forest fires. We tried to make it smarter with thehelp of IoT technology by linking the entire monitoring process to a cloud server. It has been utilized to identify forestfires in extensive surveys. The goal of this research is to look into the losses and damage caused by wildfires, both natural and human-induced and fire detection techniques. The major goal of this research is to anticipate how a firewill progress by monitoring temperature, humidity, and other factors.
System metadata — ISO 26324:2025, Annex B · DOI Handbook 10.1
Each element by the standard's name (Annex B: reference elements, then administrative) and the Handbook's (in grey), read off the record above.
| Element | Value | In the record |
|---|---|---|
| DOI Name DOI name | 10.46243/jst.2021.v6.i04.pp653-665 | doi |
| Referent Type referentType | Creation | referent |
| Referent Sub-Type referentSubType | JournalArticle — an article in a journal | type |
| Referent Name(s) referentName(s) | Forest fire detection and prediction using Internet of things (PrincipalTitle, en) | titles |
| Basic Metadata basicMetadata | author: Dinesh H. Burnade author: Kaushal Jain author: Bhavani Sutar publisher: Longman Publishers published: 2021-08-16 part of: Journal of Science & Technology · ISSN 2456-5660 · vol. 06 · no. 01 · pp. 653–665 language: en form: Digital · Visual · Language | agents, dates, container, language, structural_type, modes, characters |
| Referent Identifier(s) alternateIdentifier(s) | none besides the DOI | identifiers, relations (IsSameAs) |
| Registration Authority registrationAuthorityCode | Crossref — issued by Crossref (member 25296); held here as a copy | record.source_agency (our code, ra_doi_name, for names issued here once appointed) |
| Created Date issueDate | 2026-09-10 | record.registered (when the DOI name was first registered) |
| relatedIdentifiers | none needed — the descriptive metadata is in this record | container, relations (only where the descriptive metadata lives at another identifier) |
complete Every System Metadata element is here, with the basic metadata a journal article needs.
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History — the ledger
Every change to this DOI, in order, as it was recorded. Entries are only ever added, never changed or removed.
| # | When | What | By | Changes |
|---|---|---|---|---|
| 1 | 29 Sep 2026, 10:00 PM | register registered at Crossref; record read from api.crossref.org | Administrator (admin) | 98 fields set · sha256 66f2cb93f3c6… |
| 2 | 29 Sep 2026, 11:59 PM | update record re-read from api.crossref.org | Administrator (admin) | container.titles.0.value: |
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