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Metadados | Descrição | Idioma |
---|---|---|
Autor(es): dc.contributor | Univ Florida | - |
Autor(es): dc.contributor | Universidade Estadual Paulista (Unesp) | - |
Autor(es): dc.contributor | Zamorano Pan Amer Agr Sch | - |
Autor(es): dc.creator | Ferrarezi, Rhuanito Soranz | - |
Autor(es): dc.creator | Rodrigues Nogueira, Thiago Assis [UNESP] | - |
Autor(es): dc.creator | Cornejo Zepeda, Sara Gabriela | - |
Data de aceite: dc.date.accessioned | 2022-02-22T00:10:11Z | - |
Data de disponibilização: dc.date.available | 2022-02-22T00:10:11Z | - |
Data de envio: dc.date.issued | 2020-12-09 | - |
Data de envio: dc.date.issued | 2020-12-09 | - |
Data de envio: dc.date.issued | 2020-01-31 | - |
Fonte completa do material: dc.identifier | http://dx.doi.org/10.3390/w12020358 | - |
Fonte completa do material: dc.identifier | http://hdl.handle.net/11449/196690 | - |
Fonte: dc.identifier.uri | http://educapes.capes.gov.br/handle/11449/196690 | - |
Descrição: dc.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. | - |
Descrição: dc.description | University of Florida's Joye Giglia Endowment for Innovative Agricultural Technology | - |
Descrição: dc.description | U.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE) | - |
Descrição: dc.description | U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA) | - |
Descrição: dc.description | Univ Florida, Inst Food & Agr Sci, Indian River Res & Educ Ctr, 2199 South Rock Rd, Ft Pierce, FL 34945 USA | - |
Descrição: dc.description | Sao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, Brazil | - |
Descrição: dc.description | Zamorano Pan Amer Agr Sch, POB 93,Km 30 Rd Tegucigalpa Danli, San Antonio De Oriente 11101, Francisco Moraz, Honduras | - |
Descrição: dc.description | Sao Paulo State Univ, Sch Engn, Dept Plant Protect Rural Engn & Soils, Av Brasil Sul 56, BR-15385000 Ilha Solteira, SP, Brazil | - |
Descrição: dc.description | University of Florida's Joye Giglia Endowment for Innovative Agricultural Technology: 2017-F0013964 | - |
Descrição: dc.description | U.S. Department of Agriculture's Specialty Crop Research Initiative (SCRI) Citrus Disease Research and Extension Program (CDRE): 2018-70016-27387 | - |
Descrição: dc.description | U.S. Department of Agriculture's National Institute of Food and Agriculture (NIFA): 1021596 | - |
Formato: dc.format | 20 | - |
Idioma: dc.language | en | - |
Publicador: dc.publisher | Mdpi | - |
Relação: dc.relation | Water | - |
???dc.source???: dc.source | Web of Science | - |
Palavras-chave: dc.subject | bulk density | - |
Palavras-chave: dc.subject | irrigation management | - |
Palavras-chave: dc.subject | water loss reduction | - |
Palavras-chave: dc.subject | volumetric water content | - |
Título: dc.title | Performance of Soil Moisture Sensors in Florida Sandy Soils | - |
Tipo de arquivo: dc.type | livro digital | - |
Aparece nas coleções: | Repositório Institucional - Unesp |
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