Evidence map›Paper›PMID 35161733›Full record

ArticleSensors (Basel, Switzerland)2022

Demonstrating the Potential of a Low-Cost Soil Moisture Sensor Network.

Ciprian Briciu-Burghina, Jiang Zhou, Muhammad Intizar Ali, Fiona Regan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  7. 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

4 authors.

Ciprian Briciu-BurghinaDCU Water Institute, School of Chemical Sciences, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.ORCID 0000-0001-8682-9116
Jiang ZhouSchool of Electronic Engineering, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.
Muhammad Intizar AliSchool of Electronic Engineering, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.ORCID 0000-0002-0674-2131
Fiona ReganDCU Water Institute, School of Chemical Sciences, Dublin City University, Dublin 9, D09 E432 Dublin, Ireland.ORCID 0000-0002-8273-9970

Funding

Science foundation of Ireland SFI 20/SPP/3705
6 · The paper itself

Abstract

Soil moisture is a key parameter of the climate system as it relates to plant transpiration and photosynthesis and impacts land-atmosphere interactions. Recent developments have seen an increasing number of electromagnetic sensors available commercially (EM) for soil volumetric water content (θ). Their use is constantly expanding, and they are becoming increasingly used for agricultural, ecological, and geotechnical applications and climate research, providing decision support and high-resolution data for models and machine-learning algorithms. In this study, a soil moisture sensor network consisting of 10 Sense Cap capacitance-based sensors is evaluated. Analytical performance of the sensors was determined based on laboratory and field measurements with dielectric permittivity (ε) standards and soil media substrates. Sensor response normalisation to standards of known ε was found to reduce intersensor variability and provide robust estimates of θ in soil samples with known θ. Cross-comparison with a time-domain reflectometry (TDR) instrument carried out in two soil media demonstrates good agreement between the two probes throughout the tested range. The data communication performance of the network was evaluated in terms of packet drop rate at different ranges and sampling frequencies. It was noticed that the drop rate increased with distance from the gateway, while sampling frequency had no effect. Sources of errors associated with probe installation were identified and recommendations are provided for sensor deployment. The off-the-shelf all-in-one solution provided by Sense Cap is low cost, user friendly and suitable for implementation at temporal and spatial scales once the identified shortcomings are addressed. The evaluation presented aims to aid stakeholders and users involved in soil and land management practices including crop production, soil conservation, carbon sequestration and pollutants transport.

Indexed as

SoilWaterAgricultureAtmospherePlantsSoilWaterdielectric permittivityLoRaWANsoil moistureTDR

Identifiers

PMID35161733
PMCPMC8840329

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.