Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona
Autor(a) principal: | |
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Data de Publicação: | 2009 |
Outros Autores: | , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://elibrary.asabe.org/azdez.asp?JID=5&AID=27450&CID=reno2009&T=2 http://hdl.handle.net/11449/71380 |
Resumo: | The operational details of the apparent electrical conductivity (ECa) sensor manufactured by Veris Technologies have been extensively documented in literature reports, but the geographical distribution of these research studies indicate a strong regional concentration in the US Mid-west and Southern states. The agricultural lands of these states diverge significantly to the soil conditions and water regime of irrigated land in the US South-western states such as Arizona where there is no previous research reports of the use of this particular sensor. The objectives of the present study were to analyze the performance of this sensor under the conditions of typical soils in irrigated farms of Central Arizona. We tested under static conditions the performance of the sensor on three soils of contrasting texture. Observations were collected as time series data as soil moisture changed from saturation to permanent wilting point. Observations were repeated at the hours of lowest and highest temperatures. In addition, this study included soil penetration resistance and salinity determinations. Preliminary results indicate that soil temperature of the upper layer caused the most dynamic change in the sensor output. The ECa curves of the three soil textures tested had well defined distinctive characteristics. Final multivariate analysis is pending. |
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Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central ArizonaPrecision agricultureSoil electrical conductivitySoil salinitySoil textureAgricultural landApparent electrical conductivityArizonaAS-soilsDynamic changesGeographical distributionHighest temperatureIrrigated landsMulti variate analysisPermanent wilting pointsPrecision AgricultureResearch reportsResearch studiesSemi-arid conditionsSensor outputSoil conditionsSoil penetration resistanceSoil temperatureSoil texturesSouthern stateStatic conditionsTime-series dataTypical soilsUpper layerWater regimeAgricultureDecision makingElectric conductivityGroundwaterMultivariant analysisSalinity measurementSoil moistureTexturesTime seriesSensorsThe operational details of the apparent electrical conductivity (ECa) sensor manufactured by Veris Technologies have been extensively documented in literature reports, but the geographical distribution of these research studies indicate a strong regional concentration in the US Mid-west and Southern states. The agricultural lands of these states diverge significantly to the soil conditions and water regime of irrigated land in the US South-western states such as Arizona where there is no previous research reports of the use of this particular sensor. The objectives of the present study were to analyze the performance of this sensor under the conditions of typical soils in irrigated farms of Central Arizona. We tested under static conditions the performance of the sensor on three soils of contrasting texture. Observations were collected as time series data as soil moisture changed from saturation to permanent wilting point. Observations were repeated at the hours of lowest and highest temperatures. In addition, this study included soil penetration resistance and salinity determinations. Preliminary results indicate that soil temperature of the upper layer caused the most dynamic change in the sensor output. The ECa curves of the three soil textures tested had well defined distinctive characteristics. Final multivariate analysis is pending.Universidade Estadual Paulista Julio de Mesquita Filho, BotucatuUniversity of ArizonaUniversidade Estadual Paulista Julio de Mesquita Filho, BotucatuUniversidade Estadual Paulista (Unesp)University of ArizonaOguri, Guilherme [UNESP]Andrade-Sanchez, PedroHeun, John T.2014-05-27T11:24:31Z2014-05-27T11:24:31Z2009-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject4034-4041application/pdfhttp://elibrary.asabe.org/azdez.asp?JID=5&AID=27450&CID=reno2009&T=2American Society of Agricultural and Biological Engineers Annual International Meeting 2009, v. 6, p. 4034-4041.http://hdl.handle.net/11449/713802-s2.0-764490972952-s2.0-76449097295.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAmerican Society of Agricultural and Biological Engineers Annual International Meeting 2009info:eu-repo/semantics/openAccess2023-10-26T06:08:50Zoai:repositorio.unesp.br:11449/71380Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:02:28.914756Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
title |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
spellingShingle |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona Oguri, Guilherme [UNESP] Precision agriculture Soil electrical conductivity Soil salinity Soil texture Agricultural land Apparent electrical conductivity Arizona AS-soils Dynamic changes Geographical distribution Highest temperature Irrigated lands Multi variate analysis Permanent wilting points Precision Agriculture Research reports Research studies Semi-arid conditions Sensor output Soil conditions Soil penetration resistance Soil temperature Soil textures Southern state Static conditions Time-series data Typical soils Upper layer Water regime Agriculture Decision making Electric conductivity Groundwater Multivariant analysis Salinity measurement Soil moisture Textures Time series Sensors |
title_short |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
title_full |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
title_fullStr |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
title_full_unstemmed |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
title_sort |
Potential use of the veris apparent EC sensor to predict soil texture under the semi-arid conditions of central Arizona |
author |
Oguri, Guilherme [UNESP] |
author_facet |
Oguri, Guilherme [UNESP] Andrade-Sanchez, Pedro Heun, John T. |
author_role |
author |
author2 |
Andrade-Sanchez, Pedro Heun, John T. |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) University of Arizona |
dc.contributor.author.fl_str_mv |
Oguri, Guilherme [UNESP] Andrade-Sanchez, Pedro Heun, John T. |
dc.subject.por.fl_str_mv |
Precision agriculture Soil electrical conductivity Soil salinity Soil texture Agricultural land Apparent electrical conductivity Arizona AS-soils Dynamic changes Geographical distribution Highest temperature Irrigated lands Multi variate analysis Permanent wilting points Precision Agriculture Research reports Research studies Semi-arid conditions Sensor output Soil conditions Soil penetration resistance Soil temperature Soil textures Southern state Static conditions Time-series data Typical soils Upper layer Water regime Agriculture Decision making Electric conductivity Groundwater Multivariant analysis Salinity measurement Soil moisture Textures Time series Sensors |
topic |
Precision agriculture Soil electrical conductivity Soil salinity Soil texture Agricultural land Apparent electrical conductivity Arizona AS-soils Dynamic changes Geographical distribution Highest temperature Irrigated lands Multi variate analysis Permanent wilting points Precision Agriculture Research reports Research studies Semi-arid conditions Sensor output Soil conditions Soil penetration resistance Soil temperature Soil textures Southern state Static conditions Time-series data Typical soils Upper layer Water regime Agriculture Decision making Electric conductivity Groundwater Multivariant analysis Salinity measurement Soil moisture Textures Time series Sensors |
description |
The operational details of the apparent electrical conductivity (ECa) sensor manufactured by Veris Technologies have been extensively documented in literature reports, but the geographical distribution of these research studies indicate a strong regional concentration in the US Mid-west and Southern states. The agricultural lands of these states diverge significantly to the soil conditions and water regime of irrigated land in the US South-western states such as Arizona where there is no previous research reports of the use of this particular sensor. The objectives of the present study were to analyze the performance of this sensor under the conditions of typical soils in irrigated farms of Central Arizona. We tested under static conditions the performance of the sensor on three soils of contrasting texture. Observations were collected as time series data as soil moisture changed from saturation to permanent wilting point. Observations were repeated at the hours of lowest and highest temperatures. In addition, this study included soil penetration resistance and salinity determinations. Preliminary results indicate that soil temperature of the upper layer caused the most dynamic change in the sensor output. The ECa curves of the three soil textures tested had well defined distinctive characteristics. Final multivariate analysis is pending. |
publishDate |
2009 |
dc.date.none.fl_str_mv |
2009-12-01 2014-05-27T11:24:31Z 2014-05-27T11:24:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://elibrary.asabe.org/azdez.asp?JID=5&AID=27450&CID=reno2009&T=2 American Society of Agricultural and Biological Engineers Annual International Meeting 2009, v. 6, p. 4034-4041. http://hdl.handle.net/11449/71380 2-s2.0-76449097295 2-s2.0-76449097295.pdf |
url |
http://elibrary.asabe.org/azdez.asp?JID=5&AID=27450&CID=reno2009&T=2 http://hdl.handle.net/11449/71380 |
identifier_str_mv |
American Society of Agricultural and Biological Engineers Annual International Meeting 2009, v. 6, p. 4034-4041. 2-s2.0-76449097295 2-s2.0-76449097295.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
American Society of Agricultural and Biological Engineers Annual International Meeting 2009 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
4034-4041 application/pdf |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
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1808128597413593088 |