Evidence map›Paper›PMID 30366409›Full record

ArticleSensors (Basel, Switzerland)2018

Integration of Autonomous Wireless Sensor Networks in Academic School Gardens.

Peio Lopez-Iturri, Mikel Celaya-Echarri, Leyre Azpilicueta, Erik Aguirre, José J Astrain, Jesús Villadangos, Francisco Falcone

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Article
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

7 authors at 2 institutions in 2 countries.

Peio Lopez-IturriDepartment of Electric, Electronic and Communication Engineering, Public University of Navarre, 31006 Pamplona, Spain. peio.lopez@unavarra.es.ORCID 0000-0001-8411-1928
Mikel Celaya-EcharriSchool of Engineering and Sciences, Tecnologico de Monterrey, 64849 Monterrey, NL, Mexico. mikelcelaya@gmail.com.ORCID 0000-0002-7880-8224
Leyre AzpilicuetaSchool of Engineering and Sciences, Tecnologico de Monterrey, 64849 Monterrey, NL, Mexico. leyre.azpilicueta@itesm.mx.ORCID 0000-0002-3821-0105
Erik AguirreDepartment of Electric, Electronic and Communication Engineering, Public University of Navarre, 31006 Pamplona, Spain. erik.aguirre@unavarra.es.
José J AstrainInstitute for Smart Cities, Public University of Navarre, 31006 Pamplona, Spain. josej.astrain@unavarra.es.ORCID 0000-0002-7792-6317
Jesús VilladangosInstitute for Smart Cities, Public University of Navarre, 31006 Pamplona, Spain. jesusv@unavarra.es.ORCID 0000-0002-7341-9529
Francisco FalconeDepartment of Electric, Electronic and Communication Engineering, Public University of Navarre, 31006 Pamplona, Spain. francisco.falcone@unavarra.es.ORCID 0000-0002-4911-9753
Universidad Publica de Navarra · ESTecnológico de Monterrey · MX

Funding

Universidad Pública de Navarra PRO-UPNA17(6100)
6 · The paper itself

Abstract

In this work, the combination of capabilities provided by Wireless Sensor Networks (WSN) with parameter observation in a school garden is employed in order to provide an environment for school garden integration as a complementary educational activity in primary schools. Wireless transceivers with energy harvesting capabilities are employed in order to provide autonomous system operation, combined with an ad-hoc implemented application called MySchoolGardenApp, based on a modular software architecture. The system enables direct parameter observation, data analysis and processing capabilities, which can be employed by students in a cloud based platform. Providing remote data access allows the adaptation of content to specific classroom/homework needs. The proposed monitoring WSN has been deployed in an orchard located in the schoolyard of a primary school, which has been built with EnOcean's energy harvesting modules, providing an optimized node device as well network layout. For the assessment of the wireless link quality and the deployment of the modules, especially the central module which needs to receive directly the signals of all the sensor modules, simulation results obtained by an in-house developed 3D Ray Launching deterministic method have been used, providing coverage/capacity estimations applicable to the specific school environment case. Preliminary trials with MySchoolGardenApp have been performed, showing the feasibility of the proposed platform as an educational resource in schools, with application in specific natural science course content, development of technological skills and the extension of monitoring capabilities to new context-aware applications.

Indexed as

energy harvestingEnOceanMySchoolGardenAppschool gardensmart agriculturewireless sensor networks

Identifiers

PMID30366409
PMCPMC6264123
OpenAlexW2770549600

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.