Evidence map›Paper›PMID 42280809›Full record

ArticleSensors (Basel, Switzerland)2026

Field Performance and Calibration Strategies for Low-Cost Capacitive Soil Moisture Sensors.

Glenn Strypsteen, Magnus Persson, Mykola Miroshnychenko, Nikola Rakonjac

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

4 authors.

Glenn StrypsteenDivision of Water Resources Engineering, Lund University, 221 00 Lund, Sweden.
Magnus PerssonDivision of Water Resources Engineering, Lund University, 221 00 Lund, Sweden.ORCID 0000-0003-0013-2321
Mykola MiroshnychenkoThe National Scientific Centre "Institute for Soil Science and Agrochemistry Research Named After O.N. Sokolovsky", 61024 Kharkiv, Ukraine.ORCID 0000-0003-2830-5933
Nikola RakonjacSoil Physics and Land Management Group, Wageningen University, 6708 PB Wageningen, The Netherlands.ORCID 0000-0002-0206-5233

Funding

European Union Grant No. 101135533
6 · The paper itself

Abstract

Low-cost capacitive (LCC) soil moisture sensors have considerable potential for precision agriculture due to their low cost, low energy consumption, and suitability for IoT-based systems. However, their field performance and the transferability of laboratory calibration to field conditions remain insufficiently documented. The objective of this study was to evaluate the field performance of LCC sensors calibrated in the laboratory and to assess practical calibration strategies for field application. Laboratory calibration was performed for eight soil types, and field performance was evaluated in four experiments under different soil and climatic conditions. The sensors showed high accuracy under laboratory conditions, with RMSE values of 0.002-0.022 m

Indexed as

calibrationfield experimentsirrigation managementlow-cost capacitance sensorsoil moisture

Identifiers

PMID42280809
PMCPMC13259304

What OpenQuestion holds

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LicenceCC BY
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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.