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A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors
Soil water content is an important parameter in many engineering, agricultural and environmental applications. In practice, there exists a need to measure this parameter rather frequently in both time and space. However, common measurement techniques are typically invasive, time-consuming and labour...
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/PMC6387153/ https://www.ncbi.nlm.nih.gov/pubmed/30764525 http://dx.doi.org/10.3390/s19030651 |
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author | Orangi, Amir Narsilio, Guillermo A. Ryu, Dongryeol |
author_facet | Orangi, Amir Narsilio, Guillermo A. Ryu, Dongryeol |
author_sort | Orangi, Amir |
collection | PubMed |
description | Soil water content is an important parameter in many engineering, agricultural and environmental applications. In practice, there exists a need to measure this parameter rather frequently in both time and space. However, common measurement techniques are typically invasive, time-consuming and labour-intensive, or rely on potentially risky (although highly regulated) nuclear-based methods, making frequent measurements of soil water content impractical. Here we investigate in the laboratory the effectiveness of four new low-cost non-invasive sensors to estimate the soil water content of a range of soil types. While the results of each of the four sensors are promising, one of the sensors, herein called the “AOGAN” sensor, exhibits superior performance, as it was designed based on combining the best geometrical and electronic features of the other three sensors. The performance of the sensors is, however, influenced by the quality of the sensor-soil coupling and the soil surface roughness. Accuracy was found to be within 5% of volumetric water content, considered sufficient to enable higher spatiotemporal resolution contrast for mapping of soil water content. |
format | Online Article Text |
id | pubmed-6387153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63871532019-02-26 A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors Orangi, Amir Narsilio, Guillermo A. Ryu, Dongryeol Sensors (Basel) Article Soil water content is an important parameter in many engineering, agricultural and environmental applications. In practice, there exists a need to measure this parameter rather frequently in both time and space. However, common measurement techniques are typically invasive, time-consuming and labour-intensive, or rely on potentially risky (although highly regulated) nuclear-based methods, making frequent measurements of soil water content impractical. Here we investigate in the laboratory the effectiveness of four new low-cost non-invasive sensors to estimate the soil water content of a range of soil types. While the results of each of the four sensors are promising, one of the sensors, herein called the “AOGAN” sensor, exhibits superior performance, as it was designed based on combining the best geometrical and electronic features of the other three sensors. The performance of the sensors is, however, influenced by the quality of the sensor-soil coupling and the soil surface roughness. Accuracy was found to be within 5% of volumetric water content, considered sufficient to enable higher spatiotemporal resolution contrast for mapping of soil water content. MDPI 2019-02-05 /pmc/articles/PMC6387153/ /pubmed/30764525 http://dx.doi.org/10.3390/s19030651 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 Orangi, Amir Narsilio, Guillermo A. Ryu, Dongryeol A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title | A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title_full | A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title_fullStr | A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title_full_unstemmed | A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title_short | A Laboratory Study on Non-Invasive Soil Water Content Estimation Using Capacitive Based Sensors |
title_sort | laboratory study on non-invasive soil water content estimation using capacitive based sensors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6387153/ https://www.ncbi.nlm.nih.gov/pubmed/30764525 http://dx.doi.org/10.3390/s19030651 |
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