Performance of Soil Moisture Sensors in Florida Sandy Soils

Detalhes bibliográficos
Autor(a) principal: Ferrarezi, Rhuanito Soranz
Data de Publicação: 2020
Outros Autores: Rodrigues Nogueira, Thiago Assis [UNESP], Cornejo Zepeda, Sara Gabriela
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/w12020358
http://hdl.handle.net/11449/196690
Resumo: Soil moisture sensors can improve water management efficiency by measuring soil volumetric water content (theta nu) in real time. Soil-specific calibration equations used to calculate theta nu can increase sensor accuracy. A laboratory study was conducted to evaluate the performance of several commercial sensors and to establish soil-specific calibration equations for different soil types. We tested five Florida sandy soils used for citrus production (Pineda, Riviera, Astatula, Candler, and Immokalee) divided into two depths (0.0-0.3 and 0.3-0.6 m). Readings were taken using twelve commercial sensors (CS650, CS616, CS655 (Campbell Scientific), GS3, 10HS, 5TE, GS1 (Meter), TDT-ACC-SEN-SDI, TDR315, TDR315S, TDR135L (Acclima), and Hydra Probe (Stevens)) connected to a datalogger (CR1000X; Campbell Scientific). Known amounts of water were added incrementally to obtain a broad range of theta nu Small 450 cm(3) samples were taken to determine the gravimetric water content and calculate the theta nu used to obtain the soil-specific calibration equations. Results indicated that factory-supplied calibration equations performed well for some sensors in sandy soils, especially 5TE, TDR315L, and GS1 (R-2 = 0.92) but not for others (10HS, GS3, and Hydra Probe). Soil -specific calibrations from this study resulted in accuracy expressed as root mean square error (RMSE) ranging from 0.018 to 0.030 m(3) m(-3) for 5TE, CS616, CS650, CS655, GS1, Hydra Probe, TDR310S, TDR315, TDR315L, and TDT-ACC-SEN-SDI, while lower accuracies were found for 10HS (0.129 m(3) m(-3)) and GS3 (0.054 m(3) m(-3)). This study provided soil -specific calibration equations to increase the accuracy of commercial soil moisture sensors to facilitate irrigation scheduling and water management in Florida sandy soils used for citrus production.
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spelling Performance of Soil Moisture Sensors in Florida Sandy Soilsbulk densityirrigation managementwater loss reductionvolumetric water contentSoil moisture sensors can improve water management efficiency by measuring soil volumetric water content (theta nu) in real time. Soil-specific calibration equations used to calculate theta nu can increase sensor accuracy. A laboratory study was conducted to evaluate the performance of several commercial sensors and to establish soil-specific calibration equations for different soil types. We tested five Florida sandy soils used for citrus production (Pineda, Riviera, Astatula, Candler, and Immokalee) divided into two depths (0.0-0.3 and 0.3-0.6 m). Readings were taken using twelve commercial sensors (CS650, CS616, CS655 (Campbell Scientific), GS3, 10HS, 5TE, GS1 (Meter), TDT-ACC-SEN-SDI, TDR315, TDR315S, TDR135L (Acclima), and Hydra Probe (Stevens)) connected to a datalogger (CR1000X; Campbell Scientific). Known amounts of water were added incrementally to obtain a broad range of theta nu Small 450 cm(3) samples were taken to determine the gravimetric water content and calculate the theta nu used to obtain the soil-specific calibration equations. Results indicated that factory-supplied calibration equations performed well for some sensors in sandy soils, especially 5TE, TDR315L, and GS1 (R-2 = 0.92) but not for others (10HS, GS3, and Hydra Probe). Soil -specific calibrations from this study resulted in accuracy expressed as root mean square error (RMSE) ranging from 0.018 to 0.030 m(3) m(-3) for 5TE, CS616, CS650, CS655, GS1, Hydra Probe, TDR310S, TDR315, TDR315L, and TDT-ACC-SEN-SDI, while lower accuracies were found for 10HS (0.129 m(3) m(-3)) and GS3 (0.054 m(3) m(-3)). This study provided soil -specific calibration equations to increase the accuracy of commercial soil moisture sensors to facilitate irrigation scheduling and water management in Florida sandy soils used for citrus production.University of Florida's Joye Giglia Endowment for Innovative Agricultural TechnologyU.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE)U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA)Univ Florida, Inst Food & Agr Sci, Indian River Res & Educ Ctr, 2199 South Rock Rd, Ft Pierce, FL 34945 USASao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, BrazilZamorano Pan Amer Agr Sch, POB 93,Km 30 Rd Tegucigalpa Danli, San Antonio De Oriente 11101, Francisco Moraz, HondurasSao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, BrazilUniversity of Florida's Joye Giglia Endowment for Innovative Agricultural Technology: 2017-F0013964U.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE): 2018-70016-27387U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA): 1021596MdpiUniv FloridaUniversidade Estadual Paulista (Unesp)Zamorano Pan Amer Agr SchFerrarezi, Rhuanito SoranzRodrigues Nogueira, Thiago Assis [UNESP]Cornejo Zepeda, Sara Gabriela2020-12-10T19:53:07Z2020-12-10T19:53:07Z2020-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article20http://dx.doi.org/10.3390/w12020358Water. Basel: Mdpi, v. 12, n. 2, 20 p., 2020.http://hdl.handle.net/11449/19669010.3390/w12020358WOS:000519846500049Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengWaterinfo:eu-repo/semantics/openAccess2021-10-23T09:20:10Zoai:repositorio.unesp.br:11449/196690Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T09:20:10Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Performance of Soil Moisture Sensors in Florida Sandy Soils
title Performance of Soil Moisture Sensors in Florida Sandy Soils
spellingShingle Performance of Soil Moisture Sensors in Florida Sandy Soils
Ferrarezi, Rhuanito Soranz
bulk density
irrigation management
water loss reduction
volumetric water content
title_short Performance of Soil Moisture Sensors in Florida Sandy Soils
title_full Performance of Soil Moisture Sensors in Florida Sandy Soils
title_fullStr Performance of Soil Moisture Sensors in Florida Sandy Soils
title_full_unstemmed Performance of Soil Moisture Sensors in Florida Sandy Soils
title_sort Performance of Soil Moisture Sensors in Florida Sandy Soils
author Ferrarezi, Rhuanito Soranz
author_facet Ferrarezi, Rhuanito Soranz
Rodrigues Nogueira, Thiago Assis [UNESP]
Cornejo Zepeda, Sara Gabriela
author_role author
author2 Rodrigues Nogueira, Thiago Assis [UNESP]
Cornejo Zepeda, Sara Gabriela
author2_role author
author
dc.contributor.none.fl_str_mv Univ Florida
Universidade Estadual Paulista (Unesp)
Zamorano Pan Amer Agr Sch
dc.contributor.author.fl_str_mv Ferrarezi, Rhuanito Soranz
Rodrigues Nogueira, Thiago Assis [UNESP]
Cornejo Zepeda, Sara Gabriela
dc.subject.por.fl_str_mv bulk density
irrigation management
water loss reduction
volumetric water content
topic bulk density
irrigation management
water loss reduction
volumetric water content
description Soil moisture sensors can improve water management efficiency by measuring soil volumetric water content (theta nu) in real time. Soil-specific calibration equations used to calculate theta nu can increase sensor accuracy. A laboratory study was conducted to evaluate the performance of several commercial sensors and to establish soil-specific calibration equations for different soil types. We tested five Florida sandy soils used for citrus production (Pineda, Riviera, Astatula, Candler, and Immokalee) divided into two depths (0.0-0.3 and 0.3-0.6 m). Readings were taken using twelve commercial sensors (CS650, CS616, CS655 (Campbell Scientific), GS3, 10HS, 5TE, GS1 (Meter), TDT-ACC-SEN-SDI, TDR315, TDR315S, TDR135L (Acclima), and Hydra Probe (Stevens)) connected to a datalogger (CR1000X; Campbell Scientific). Known amounts of water were added incrementally to obtain a broad range of theta nu Small 450 cm(3) samples were taken to determine the gravimetric water content and calculate the theta nu used to obtain the soil-specific calibration equations. Results indicated that factory-supplied calibration equations performed well for some sensors in sandy soils, especially 5TE, TDR315L, and GS1 (R-2 = 0.92) but not for others (10HS, GS3, and Hydra Probe). Soil -specific calibrations from this study resulted in accuracy expressed as root mean square error (RMSE) ranging from 0.018 to 0.030 m(3) m(-3) for 5TE, CS616, CS650, CS655, GS1, Hydra Probe, TDR310S, TDR315, TDR315L, and TDT-ACC-SEN-SDI, while lower accuracies were found for 10HS (0.129 m(3) m(-3)) and GS3 (0.054 m(3) m(-3)). This study provided soil -specific calibration equations to increase the accuracy of commercial soil moisture sensors to facilitate irrigation scheduling and water management in Florida sandy soils used for citrus production.
publishDate 2020
dc.date.none.fl_str_mv 2020-12-10T19:53:07Z
2020-12-10T19:53:07Z
2020-02-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/w12020358
Water. Basel: Mdpi, v. 12, n. 2, 20 p., 2020.
http://hdl.handle.net/11449/196690
10.3390/w12020358
WOS:000519846500049
url http://dx.doi.org/10.3390/w12020358
http://hdl.handle.net/11449/196690
identifier_str_mv Water. Basel: Mdpi, v. 12, n. 2, 20 p., 2020.
10.3390/w12020358
WOS:000519846500049
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Water
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 20
dc.publisher.none.fl_str_mv Mdpi
publisher.none.fl_str_mv Mdpi
dc.source.none.fl_str_mv Web of Science
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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