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A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment
This paper will show the electronic architecture of a portable and non-invasive soil moisture system based on an open rectangular waveguide. The spectral information, measured in the range of 1.5–2.7 GHz, is elaborated on by an embedded predictive model, based on a partial least squares (PLS) regres...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663388/ https://www.ncbi.nlm.nih.gov/pubmed/33137922 http://dx.doi.org/10.3390/s20216147 |
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author | Franceschelli, Leonardo Berardinelli, Annachiara Crescentini, Marco Iaccheri, Eleonora Tartagni, Marco Ragni, Luigi |
author_facet | Franceschelli, Leonardo Berardinelli, Annachiara Crescentini, Marco Iaccheri, Eleonora Tartagni, Marco Ragni, Luigi |
author_sort | Franceschelli, Leonardo |
collection | PubMed |
description | This paper will show the electronic architecture of a portable and non-invasive soil moisture system based on an open rectangular waveguide. The spectral information, measured in the range of 1.5–2.7 GHz, is elaborated on by an embedded predictive model, based on a partial least squares (PLS) regression tool, for the estimation of the soil moisture (%) in a real environment. The proposed system is composed of a waveguide, containing Tx and Rx antennas, and an electronic circuit driven by a microcontroller (MCU). It will be shown how the system provides a useful and fast estimation of moisture on a silty clay loam soil characterized by a moisture range of about 9% to 32% and a soil temperature ranging from about 8 °C and 18 °C. Using the PLS approach, the moisture content can be predicted with an R(2) value of 0.892, a root mean square error (RMSE) of 1.0%, and a residual prediction deviation (RPD) of 4.3. The results prove that it is possible to make accurate and rapid moisture assessments without the use of invasive electrodes, as currently employed by state-of-the-art approaches. |
format | Online Article Text |
id | pubmed-7663388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76633882020-11-14 A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment Franceschelli, Leonardo Berardinelli, Annachiara Crescentini, Marco Iaccheri, Eleonora Tartagni, Marco Ragni, Luigi Sensors (Basel) Article This paper will show the electronic architecture of a portable and non-invasive soil moisture system based on an open rectangular waveguide. The spectral information, measured in the range of 1.5–2.7 GHz, is elaborated on by an embedded predictive model, based on a partial least squares (PLS) regression tool, for the estimation of the soil moisture (%) in a real environment. The proposed system is composed of a waveguide, containing Tx and Rx antennas, and an electronic circuit driven by a microcontroller (MCU). It will be shown how the system provides a useful and fast estimation of moisture on a silty clay loam soil characterized by a moisture range of about 9% to 32% and a soil temperature ranging from about 8 °C and 18 °C. Using the PLS approach, the moisture content can be predicted with an R(2) value of 0.892, a root mean square error (RMSE) of 1.0%, and a residual prediction deviation (RPD) of 4.3. The results prove that it is possible to make accurate and rapid moisture assessments without the use of invasive electrodes, as currently employed by state-of-the-art approaches. MDPI 2020-10-29 /pmc/articles/PMC7663388/ /pubmed/33137922 http://dx.doi.org/10.3390/s20216147 Text en © 2020 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 Franceschelli, Leonardo Berardinelli, Annachiara Crescentini, Marco Iaccheri, Eleonora Tartagni, Marco Ragni, Luigi A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title | A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title_full | A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title_fullStr | A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title_full_unstemmed | A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title_short | A Non-Invasive Soil Moisture Sensing System Electronic Architecture: A Real Environment Assessment |
title_sort | non-invasive soil moisture sensing system electronic architecture: a real environment assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663388/ https://www.ncbi.nlm.nih.gov/pubmed/33137922 http://dx.doi.org/10.3390/s20216147 |
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