Evidence map›Paper›PMID 42451223›Full record

ArticleSensors (Basel, Switzerland)2026

Soil-Specific Calibration and Integration of Low-Cost Capacitive Soil Moisture Sensors into a Solar-Powered Sensor Node.

Yakubu S Zakaria, Sheng Chen, Thomas A Adongo, Gordana Kranjac-Berisavljevic, Hadi Larijani

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yakubu S ZakariaDepartment of Agricultural Engineering, School of Engineering, University for Development Studies, Tamale TL1350, Ghana.
Sheng ChenDepartment of Engineering, Glasgow Caledonian University, Glasgow G4 0BA, UK.ORCID 0000-0002-9377-2426
Thomas A AdongoDepartment of Agricultural Mechanization and Irrigation Technology, Faculty of Agriculture, Food and Consumer Sciences, University for Dvelopment Studies, Tamale TL1350, Ghana.
Gordana Kranjac-BerisavljevicDepartment of Agricultural Mechanization and Irrigation Technology, Faculty of Agriculture, Food and Consumer Sciences, University for Dvelopment Studies, Tamale TL1350, Ghana.
Hadi LarijaniDepartment of Computer Science, Glasgow Caledonian University, Glasgow G4 0BA, UK.ORCID 0000-0002-6826-207X

Funding

Innovate UK 10098109
6 · The paper itself

Abstract

Accurate real-time soil moisture monitoring is critical for optimizing water use and ensuring crop health and food security. This study aims to calibrate and integrate low-cost capacitive soil moisture sensors into a solar-powered sensor node for real-time soil moisture monitoring in a loamy sand soil. Three capacitive soil moisture sensors were calibrated in the laboratory under controlled volumetric water content conditions (0-40%) using a constrained linear regression approach. The system was tested in a limited pilot-scale in a drip-irrigated onion field at the IWAD farm, Yagaba (North-East Region, Ghana). The results showed good agreement of the sensor readings with the soil moisture obtained using the gravimetric method (R

Indexed as

capacitive soil moisture sensorconstrained linear calibrationESP32InfluxDBinternet of thingsMQTTsoil-specific calibrationsolar-powered wireless sensor node

Identifiers

PMID42451223
PMCPMC13364378

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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 OpenQuestion graph.