Publication2022
Long Range (LoRa) Fire Fighter In Dense Forest
The record
- Type
- Publication
- Date
- 1 January 2022
- Level
- National
- Journal
- 2022 1st International Conference on Computer Power and Communications Iccpc 2022 Proceedings
- Pages
- 286-293
- Published
- 1 January 2022
- DOI
- 10.1109/iccpc55978.2022.10072080
- Scopus ID
- 85152079206
- Authors
- 6
- Open access
- No
- Citations
- 2
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
15 Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Long-range LoRa wireless sensor network for early forest fire detection enables rapid response and wildfire prevention in dense forest areas, protecting forest ecosystems.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
13 Take urgent action to combat climate change and its impacts
Disaster risk reduction for forest fires through early detection systems supports climate change adaptation.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-4.4 Public safety, cybersecurity and national security
Forest fire early warning system directly supports public safety and disaster risk management.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Long Range (LoRa) Fire Fighter In Dense Forest”. Kortex.