Evidence map›Paper›PMID 31906340›Full record

ArticleSensors (Basel, Switzerland)2020

CSRR-Based Microwave Sensor for Dielectric Materials Characterization Applied to Soil Water Content Determination.

João G D Oliveira, Erica N M G Pinto, Valdemir P Silva Neto, Adaildo G D'Assunção

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  3. Review
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  8. Review
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  10. Microwave Sensors Based on Resonant Elements.Sensors (Basel, Switzerland) · 2020
    Article
  11. 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

4 authors.

João G D OliveiraDepartment of Communication Engineering, Federal University of Rio Grande do Norte, Caixa Postal 1655, Natal CEP: 59078-970, RN, Brazil.
Erica N M G PintoAvenida Universitária Leto Fernandes, Federal Rural University of the Semi-Arid, Caraúbas CEP: 59780-000, RN, Brazil.
Valdemir P Silva NetoDepartment of Communication Engineering, Federal University of Rio Grande do Norte, Caixa Postal 1655, Natal CEP: 59078-970, RN, Brazil.
Adaildo G D'AssunçãoDepartment of Communication Engineering, Federal University of Rio Grande do Norte, Caixa Postal 1655, Natal CEP: 59078-970, RN, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new and compact sensor based on the complementary split-ring resonator (CSRR) structure is proposed to characterize the relative permittivity of various dielectric materials, enabling the determination of soil water content (SWC). The proposed sensor consists of a circular microstrip patch antenna supporting a 3D-printed small cylindrical container made out of Acrylonitrile-Butadiene-Styrene (ABS) filament. The principle of operation is based on the shifting of two of the antenna resonant frequencies caused by changing the relative permittivity of the material under test (MUT). Simulations are performed enabling the development of an empirical model of analysis. The sensitivity of the sensor is investigated and its effectiveness is analyzed by characterizing typical dielectric materials. The proposed sensor, which can be applied to characterize different types of dielectric materials, is used to determine the percentage of water contained in different soil types. Prototypes are fabricated and measured and the obtained results are compared with results from other research works, to validate the proposed sensor effectiveness. Moreover, the sensor was used to determine the percentage of water concentration in quartz sand and red clay samples.

Indexed as

CSRRmicrowave sensorrelative permittivity measurementslotted circular patch antennasoil water contentSWC

Identifiers

PMID31906340
PMCPMC6983059

What Socratic holds

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Registered trials

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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 Socratic graph.