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Internet of Things (IoT) for Soil Moisture Tensiometer Automation
Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967655/ https://www.ncbi.nlm.nih.gov/pubmed/36837963 http://dx.doi.org/10.3390/mi14020263 |
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author | Abdelmoneim, Ahmed Ali Khadra, Roula Derardja, Bilal Dragonetti, Giovanna |
author_facet | Abdelmoneim, Ahmed Ali Khadra, Roula Derardja, Bilal Dragonetti, Giovanna |
author_sort | Abdelmoneim, Ahmed Ali |
collection | PubMed |
description | Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many devices is a tedious task hindering the full exploitation of soil moisture tensiometers. This research develops and lab validates a low cost IoT soil moisture tensiometer. The IoT-prototype is capable of measuring tension up to −80 Kpa with R(2) = 0.99 as compared to the same tensiometer equipped with a mechanical manometer. It uses an ESP32 MCU, BMP180 barometric sensor and an SD card module to upload the measured points to a cloud service platform and establishes an online soil water potential curve. Moreover, it stores the reading on a micro-SD card as txt file. Being relatively cheap (76 USD) the prototype allows for more extensive measurements and, thus, for several potential applications such as soil water matric potential mapping, precision irrigation, and smart irrigation scheduling. In terms of energy, the prototype is totally autonomous, using a 2400 mAh Li-ion battery and a solar panel for charging, knowing that it uses deep sleep feature and sends three data points to the cloud each 6 h. |
format | Online Article Text |
id | pubmed-9967655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99676552023-02-27 Internet of Things (IoT) for Soil Moisture Tensiometer Automation Abdelmoneim, Ahmed Ali Khadra, Roula Derardja, Bilal Dragonetti, Giovanna Micromachines (Basel) Article Monitoring of water retention behavior in soils is an essential process to schedule irrigation. To this end, soil moisture tensiometers usually equipped with mechanical manometers provide an easy and cost-effective monitoring of tension in unsaturated soils. Yet, periodic manual monitoring of many devices is a tedious task hindering the full exploitation of soil moisture tensiometers. This research develops and lab validates a low cost IoT soil moisture tensiometer. The IoT-prototype is capable of measuring tension up to −80 Kpa with R(2) = 0.99 as compared to the same tensiometer equipped with a mechanical manometer. It uses an ESP32 MCU, BMP180 barometric sensor and an SD card module to upload the measured points to a cloud service platform and establishes an online soil water potential curve. Moreover, it stores the reading on a micro-SD card as txt file. Being relatively cheap (76 USD) the prototype allows for more extensive measurements and, thus, for several potential applications such as soil water matric potential mapping, precision irrigation, and smart irrigation scheduling. In terms of energy, the prototype is totally autonomous, using a 2400 mAh Li-ion battery and a solar panel for charging, knowing that it uses deep sleep feature and sends three data points to the cloud each 6 h. MDPI 2023-01-19 /pmc/articles/PMC9967655/ /pubmed/36837963 http://dx.doi.org/10.3390/mi14020263 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Abdelmoneim, Ahmed Ali Khadra, Roula Derardja, Bilal Dragonetti, Giovanna Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title | Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title_full | Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title_fullStr | Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title_full_unstemmed | Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title_short | Internet of Things (IoT) for Soil Moisture Tensiometer Automation |
title_sort | internet of things (iot) for soil moisture tensiometer automation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9967655/ https://www.ncbi.nlm.nih.gov/pubmed/36837963 http://dx.doi.org/10.3390/mi14020263 |
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