Evidence map›Paper›PMID 30081559›Full record

ArticleSensors (Basel, Switzerland)2018

Multiparametric Monitoring in Equatorian Tomato Greenhouses (I): Wireless Sensor Network Benchmarking.

Mayra Erazo-Rodas, Mary Sandoval-Moreno, Sergio Muñoz-Romero, Mónica Huerta, David Rivas-Lalaleo, César Naranjo, José Luis Rojo-Álvarez

Abstract 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 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse.International journal of environmental research and public health · 2019
    Article
  3. Article
  4. 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.

Mayra Erazo-RodasDepartamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas, Av. General Rumiñahui s/n, Sangolquí 171-5-231B, Ecuador. mjerazo@espe.edu.ec.ORCID 0000-0002-2196-3514
Mary Sandoval-MorenoDepartamento de Ciencias Exactas, Universidad de las Fuerzas Armadas ESPE, Av. General Rumiñahui s/n, Sangolquí 171-5-231B, Ecuador. mjsandoval@espe.edu.ec.ORCID 0000-0002-7782-7677
Sergio Muñoz-RomeroDepartamento de Teoría de la Señal y Comunicaciones, Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain. sergio.munoz@urjc.es.ORCID 0000-0003-1356-2646
Mónica HuertaCarrera de Telecomunicaciones, Universidad Politécnica Salesiana, Cuenca 010105, Ecuador. mhuerta@ups.edu.ec.ORCID 0000-0003-4435-7987
David Rivas-LalaleoDepartamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas, Av. General Rumiñahui s/n, Sangolquí 171-5-231B, Ecuador. drrivas@espe.edu.ec.ORCID 0000-0001-5958-6606
César NaranjoDepartamento de Eléctrica y Electrónica, Universidad de las Fuerzas Armadas, Av. General Rumiñahui s/n, Sangolquí 171-5-231B, Ecuador. canaranjo@espe.edu.ec.ORCID 0000-0001-6001-500X
José Luis Rojo-ÁlvarezDepartamento de Teoría de la Señal y Comunicaciones, Sistemas Telemáticos y Computación, Universidad Rey Juan Carlos, 28943 Fuenlabrada, Spain. joseluis.rojo@urjc.es.ORCID 0000-0003-0426-8912

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, attention has been paid to wireless sensor networks (WSNs) applied to precision agriculture. However, few studies have compared the technologies of different communication standards in terms of topology and energy efficiency. This paper presents the design and implementation of the hardware and software of three WSNs with different technologies and topologies of wireless communication for tomato greenhouses in the Andean region of Ecuador, as well as the comparative study of the performance of each of them. Two companion papers describe the study of the dynamics of the energy consumption and of the monitored variables. Three WSNs were deployed, two of them with the IEEE 802.15.4 standard with star and mesh topologies (ZigBee and DigiMesh, respectively), and a third with the IEEE 802.11 standard with access point topology (WiFi). The measured variables were selected after investigation of the climatic conditions required for efficient tomato growth. The measurements for each variable could be displayed in real time using either a laboratory virtual instrument engineering workbench (LabVIEWTM) interface or an Android mobile application. The comparative study of the three networks made evident that the configuration of the DigiMesh network is the most complex for adding new nodes, due to its mesh topology. However, DigiMesh maintains the bit rate and prevents data loss by the location of the nodes as a function of crop height. It has been also shown that the WiFi network has better stability with larger precision in its measurements.

Indexed as

DigiMeshgreenhouseLibeliumTMtomatoWiFiwireless sensor networksZigBee

Identifiers

PMID30081559
PMCPMC6111376

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.