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Campo DCValorIdioma
dc.creatorSilva, Bárbara Pereira Christofaro-
dc.creatorTassinari, Diego-
dc.creatorSilva, Marx Leandro Naves-
dc.creatorSilva, Bruno Montoani-
dc.creatorCuri, Nilton-
dc.creatorRocha, Humberto Ribeiro da-
dc.date.accessioned2022-07-08T19:37:39Z-
dc.date.available2022-07-08T19:37:39Z-
dc.date.issued2021-07-
dc.identifier.citationSILVA, B. P. C. et al. Nonlinear models for soil moisture sensor calibration in tropical mountainous soils. Scientia Agricola, Piracicaba, v. 79, n. 4, e20200253, 2022. DOI: http://doi.org/10.1590/1678-992X-2020-0253.pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/50527-
dc.description.abstractElectromagnetic sensors are widely used to monitor soil water content (θ); however, site-specific calibrations are necessary for accurate measurements. This study compares regression models used for calibration of soil moisture sensors and investigates the relation between soil attributes and the adjusted parameters of the specific calibration equations. Undisturbed soil samples were collected in the A and B horizons of two Ultisols and two Inceptisols from the Mantiqueira Range in Southeastern Brazil. After saturation, the Theta Probe ML2X was used to obtain the soil dielectric constant (ε). Several readings were made, ranging from saturation to oven-dry. After each reading, the samples were weighted to calculate θ (m3 m–3). Fourteen regression models (linear, linearized, and nonlinear) were adjusted to the calibration data and checked for their residue distribution. Only the exponential model with three parameters met the regression assumptions regarding residue distribution. The stepwise regression was used to obtain multiple linear equations to estimate the adjusted parameters of the calibration model from soil attributes, with silt and clay contents providing the best relations. Both the specific and the general calibrations performed well, with RMSE values of 0.02 and 0.03 m3 m–3, respectively. Manufacturer calibration and equations from the literature were much less accurate, reinforcing the need to develop specific calibrations.pt_BR
dc.languageenpt_BR
dc.publisherEscola Superior de Agricultura "Luiz de Queiroz" - USP/ESALQpt_BR
dc.rightsAttribution 4.0 International*
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceScientia Agricolapt_BR
dc.subjectSoil dielectric constantpt_BR
dc.subjectSoil water contentpt_BR
dc.subjectModel selectionpt_BR
dc.subjectDielectric-based sensorpt_BR
dc.subjectSolo - Constante dielétricapt_BR
dc.subjectSolo - Umidadept_BR
dc.subjectModelos de regressãopt_BR
dc.subjectSensores eletromagnéticospt_BR
dc.titleNonlinear models for soil moisture sensor calibration in tropical mountainous soilspt_BR
dc.typeArtigopt_BR
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