Performance of Soil Moisture Sensors in Florida Sandy Soils

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniv Florida-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorZamorano Pan Amer Agr Sch-
Autor(es): dc.creatorFerrarezi, Rhuanito Soranz-
Autor(es): dc.creatorRodrigues Nogueira, Thiago Assis [UNESP]-
Autor(es): dc.creatorCornejo Zepeda, Sara Gabriela-
Data de aceite: dc.date.accessioned2022-02-22T00:10:11Z-
Data de disponibilização: dc.date.available2022-02-22T00:10:11Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-01-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.3390/w12020358-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/196690-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/196690-
Descrição: dc.descriptionSoil 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.-
Descrição: dc.descriptionUniversity of Florida's Joye Giglia Endowment for Innovative Agricultural Technology-
Descrição: dc.descriptionU.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE)-
Descrição: dc.descriptionU.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA)-
Descrição: dc.descriptionUniv Florida, Inst Food & Agr Sci, Indian River Res & Educ Ctr, 2199 South Rock Rd, Ft Pierce, FL 34945 USA-
Descrição: dc.descriptionSao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionZamorano Pan Amer Agr Sch, POB 93,Km 30 Rd Tegucigalpa Danli, San Antonio De Oriente 11101, Francisco Moraz, Honduras-
Descrição: dc.descriptionSao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionUniversity of Florida's Joye Giglia Endowment for Innovative Agricultural Technology: 2017-F0013964-
Descrição: dc.descriptionU.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE): 2018-70016-27387-
Descrição: dc.descriptionU.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA): 1021596-
Formato: dc.format20-
Idioma: dc.languageen-
Publicador: dc.publisherMdpi-
Relação: dc.relationWater-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectbulk density-
Palavras-chave: dc.subjectirrigation management-
Palavras-chave: dc.subjectwater loss reduction-
Palavras-chave: dc.subjectvolumetric water content-
Título: dc.titlePerformance of Soil Moisture Sensors in Florida Sandy Soils-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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