Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/14005 |
Resumo: | Agriculture is the most water-demanding economic activity. Nevertheless, the monitoring of agricultural production systems can improve the soil water condition and contribute to soil conservation, as well as increase irrigation efficiency through quick and assertive decision-making. Thus, the objective of this work was to carry out a real-time evaluation of the wetting front (WF), the water infiltration rate in the soil, and to verify whether the system performance can affect infiltration test data in a Red Latosol with clayey and very clayey textures. The public domain prototype system consisted of a permeameter, and 10 soil moisture sensors that were calibrated by the oven drying method and inserted into a PVC pipe from 10 cm to 100 cm depth. The equipment allowed the evaluation of the wetting front and calculation of the infiltration rate and water retention and variations along the soil profile. Data were analyzed using descriptive statistics using RStudio and Excel. The results showed that the prototype system is effective to simulate the water infiltration rate in the two soil textures analyzed at low cost. |
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Engenharia na Agricultura |
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Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration testsWetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration testsSoil moisture. monitoring. ArduinoSoil moistureMonitoringArduinoAgriculture is the most water-demanding economic activity. Nevertheless, the monitoring of agricultural production systems can improve the soil water condition and contribute to soil conservation, as well as increase irrigation efficiency through quick and assertive decision-making. Thus, the objective of this work was to carry out a real-time evaluation of the wetting front (WF), the water infiltration rate in the soil, and to verify whether the system performance can affect infiltration test data in a Red Latosol with clayey and very clayey textures. The public domain prototype system consisted of a permeameter, and 10 soil moisture sensors that were calibrated by the oven drying method and inserted into a PVC pipe from 10 cm to 100 cm depth. The equipment allowed the evaluation of the wetting front and calculation of the infiltration rate and water retention and variations along the soil profile. Data were analyzed using descriptive statistics using RStudio and Excel. The results showed that the prototype system is effective to simulate the water infiltration rate in the two soil textures analyzed at low cost.Agriculture is the most water-demanding economic activity. Nevertheless, the monitoring of agricultural production systems can improve the soil water condition and contribute to soil conservation, as well as increase irrigation efficiency through quick and assertive decision-making. Thus, the objective of this work was to carry out a real-time evaluation of the wetting front (WF), the water infiltration rate in the soil, and to verify whether the system performance can affect infiltration test data in a Red Latosol with clayey and very clayey textures. The public domain prototype system consisted of a permeameter, and 10 soil moisture sensors that were calibrated by the oven drying method and inserted into a PVC pipe from 10 cm to 100 cm depth. The equipment allowed the evaluation of the wetting front and calculation of the infiltration rate and water retention and variations along the soil profile. Data were analyzed using descriptive statistics using RStudio and Excel. The results showed that the prototype system is effective to simulate the water infiltration rate in the two soil textures analyzed at low cost.Universidade Federal de Viçosa - UFV2022-10-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1400510.13083/reveng.v30i1.14005Engineering in Agriculture; Vol. 30 No. Contínua (2022); 357-370Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 357-3702175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/14005/7518Copyright (c) 2022 Revista Engenharia na Agricultura - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessOtta Junior, JorgeCarvalho, Leandro Augusto de Paula Filho, Pedro Luíz de Miranda, Glauco Vieira 2023-01-23T14:06:10Zoai:ojs.periodicos.ufv.br:article/14005Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-23T14:06:10Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
title |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
spellingShingle |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests Otta Junior, Jorge Soil moisture. monitoring. Arduino Soil moisture Monitoring Arduino |
title_short |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
title_full |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
title_fullStr |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
title_full_unstemmed |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
title_sort |
Wetting front of soil infiltration test by real-time sensing in prototype system real-time wetting front in soil infiltration tests |
author |
Otta Junior, Jorge |
author_facet |
Otta Junior, Jorge Carvalho, Leandro Augusto de Paula Filho, Pedro Luíz de Miranda, Glauco Vieira |
author_role |
author |
author2 |
Carvalho, Leandro Augusto de Paula Filho, Pedro Luíz de Miranda, Glauco Vieira |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Otta Junior, Jorge Carvalho, Leandro Augusto de Paula Filho, Pedro Luíz de Miranda, Glauco Vieira |
dc.subject.por.fl_str_mv |
Soil moisture. monitoring. Arduino Soil moisture Monitoring Arduino |
topic |
Soil moisture. monitoring. Arduino Soil moisture Monitoring Arduino |
description |
Agriculture is the most water-demanding economic activity. Nevertheless, the monitoring of agricultural production systems can improve the soil water condition and contribute to soil conservation, as well as increase irrigation efficiency through quick and assertive decision-making. Thus, the objective of this work was to carry out a real-time evaluation of the wetting front (WF), the water infiltration rate in the soil, and to verify whether the system performance can affect infiltration test data in a Red Latosol with clayey and very clayey textures. The public domain prototype system consisted of a permeameter, and 10 soil moisture sensors that were calibrated by the oven drying method and inserted into a PVC pipe from 10 cm to 100 cm depth. The equipment allowed the evaluation of the wetting front and calculation of the infiltration rate and water retention and variations along the soil profile. Data were analyzed using descriptive statistics using RStudio and Excel. The results showed that the prototype system is effective to simulate the water infiltration rate in the two soil textures analyzed at low cost. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-10-18 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/14005 10.13083/reveng.v30i1.14005 |
url |
https://periodicos.ufv.br/reveng/article/view/14005 |
identifier_str_mv |
10.13083/reveng.v30i1.14005 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/14005/7518 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Revista Engenharia na Agricultura - REVENG https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 30 No. Contínua (2022); 357-370 Revista Engenharia na Agricultura - REVENG; v. 30 n. Contínua (2022); 357-370 2175-6813 1414-3984 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211147370004480 |