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On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors
Soil water content (SWC) monitoring is often used to optimize agricultural irrigation. Commonly, capacitance sensors are used for this task. However, the factory calibrations have been often criticized for their limited accuracy. The aim of this paper is to test the degree of improvement of various...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679572/ https://www.ncbi.nlm.nih.gov/pubmed/31337053 http://dx.doi.org/10.3390/s19143101 |
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author | Domínguez-Niño, Jesús María Bogena, Heye Reemt Huisman, Johan Alexander Schilling, Bernd Casadesús, Jaume |
author_facet | Domínguez-Niño, Jesús María Bogena, Heye Reemt Huisman, Johan Alexander Schilling, Bernd Casadesús, Jaume |
author_sort | Domínguez-Niño, Jesús María |
collection | PubMed |
description | Soil water content (SWC) monitoring is often used to optimize agricultural irrigation. Commonly, capacitance sensors are used for this task. However, the factory calibrations have been often criticized for their limited accuracy. The aim of this paper is to test the degree of improvement of various sensor- and soil-specific calibration options compared to factory calibrations by taking the 10HS sensor as an example. To this end, a two-step sensor calibration was carried out. In the first step, the sensor response was related to dielectric permittivity using calibration in media with well-defined permittivity. The second step involved the establishment of a site-specific relationship between permittivity and soil water content using undisturbed soil samples and time domain reflectometry (TDR) measurements. Our results showed that a model, which considered the mean porosity and a fitted dielectric permittivity of the solid phase for each soil and depth, provided the best fit between bulk permittivity and SWC. Most importantly, it was found that the two-step calibration approach (RMSE: 1.03 vol.%) provided more accurate SWC estimates compared to the factory calibration (RMSE: 5.33 vol.%). Finally, we used these calibrations on data from drip-irrigated almond and apple orchards and compared the factory calibration with our two-step calibration approach. |
format | Online Article Text |
id | pubmed-6679572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66795722019-08-19 On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors Domínguez-Niño, Jesús María Bogena, Heye Reemt Huisman, Johan Alexander Schilling, Bernd Casadesús, Jaume Sensors (Basel) Article Soil water content (SWC) monitoring is often used to optimize agricultural irrigation. Commonly, capacitance sensors are used for this task. However, the factory calibrations have been often criticized for their limited accuracy. The aim of this paper is to test the degree of improvement of various sensor- and soil-specific calibration options compared to factory calibrations by taking the 10HS sensor as an example. To this end, a two-step sensor calibration was carried out. In the first step, the sensor response was related to dielectric permittivity using calibration in media with well-defined permittivity. The second step involved the establishment of a site-specific relationship between permittivity and soil water content using undisturbed soil samples and time domain reflectometry (TDR) measurements. Our results showed that a model, which considered the mean porosity and a fitted dielectric permittivity of the solid phase for each soil and depth, provided the best fit between bulk permittivity and SWC. Most importantly, it was found that the two-step calibration approach (RMSE: 1.03 vol.%) provided more accurate SWC estimates compared to the factory calibration (RMSE: 5.33 vol.%). Finally, we used these calibrations on data from drip-irrigated almond and apple orchards and compared the factory calibration with our two-step calibration approach. MDPI 2019-07-13 /pmc/articles/PMC6679572/ /pubmed/31337053 http://dx.doi.org/10.3390/s19143101 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Domínguez-Niño, Jesús María Bogena, Heye Reemt Huisman, Johan Alexander Schilling, Bernd Casadesús, Jaume On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title | On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title_full | On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title_fullStr | On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title_full_unstemmed | On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title_short | On the Accuracy of Factory-Calibrated Low-Cost Soil Water Content Sensors |
title_sort | on the accuracy of factory-calibrated low-cost soil water content sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6679572/ https://www.ncbi.nlm.nih.gov/pubmed/31337053 http://dx.doi.org/10.3390/s19143101 |
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