Evidence map›Paper›PMID 36991607›Full record

ArticleSensors (Basel, Switzerland)2023

ConnecSenS, a Versatile IoT Platform for Environment Monitoring: Bring Water to Cloud.

Laure Moiroux-Arvis, Laurent Royer, David Sarramia, Gil De Sousa, Alexandre Claude, Delphine Latour, Erwan Roussel, Olivier Voldoire, Patrick Chardon, Richard Vandaële and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Laure Moiroux-ArvisUniversité Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, France.
Laurent RoyerLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.
David SarramiaLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.ORCID 0000-0002-7062-9707
Gil De SousaUniversité Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, France.
Alexandre ClaudeLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.
Delphine LatourUniversité Clermont Auvergne, CNRS, Laboratoire Microorganismes: Genome, Environnement (LMGE), UMR, 6023 Clermont-Ferrand, France.
Erwan RousselCNRS, GEOLAB, Université Clermont Auvergne, 63145 Clermont-Ferrand, France.ORCID 0000-0003-1514-2311
Olivier VoldoireCNRS, GEOLAB, Université Clermont Auvergne, 63145 Clermont-Ferrand, France.ORCID 0000-0003-1306-3054
Patrick ChardonLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.
Richard VandaëleLaboratoire de Physique de Clermont, Université Clermont Auvergne, CNRS/IN2P3, 63000 Clermont-Ferrand, France.
Thierry AméglioUniversité Clermont Auvergne, INRAE, PIAF, 63000 Clermont-Ferrand, France.ORCID 0000-0001-6919-3531
Jean-Pierre ChanetUniversité Clermont Auvergne, INRAE, UR TSCF, 63178 Aubière, France.ORCID 0000-0002-7011-4535

Funding

Agence Nationale de la Recherche 16-IDEX-0001Conseil Régional d'Auvergne CPEREuropean Union FEDERFrench National Centre for Scientific Research FRE
6 · The paper itself

Abstract

Climate change is having an increasingly rapid impact on ecosystems and particularly on the issue of water resources. The Internet of Things and communication technologies have now reached a level of maturity that allows sensors to be deployed more easily on sites to monitor them. The communicating node based on LoRaWAN technology presented in this article is open and allows the interfacing of numerous sensors for designing long-term environmental monitoring systems of isolated sites. The data integration in the cloud is ensured by a workflow driving the storage and indexing of data, allowing a simple and efficient use of the data for different users (scientists, administration, citizens) through specific dashboards and extractions. This article presents this infrastructure through environmental monitoring use cases related to water resources.

Indexed as

clouddata integrationdata streamenvironmental monitoringIoTLoRaWANwaterwireless sensor network

Identifiers

PMID36991607
PMCPMC10059706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.