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Dotto,André Carnieletto; Dalmolin,Ricardo Simão Diniz; Caten,Alexandre ten; Gris,Diego José; Ruiz,Luis Fernando Chimelo. |
ABSTRACT Soil reflectance spectroscopy has become an innovative method for soil property quantification supplying data for studies in soil fertility, soil classification, digital soil mapping, while reducing laboratory time and applying a clean technology. This paper describes the implementation of a Graphical User Interface (GUI) using R named AlradSpectra. It contains several tools to process spectroscopic data and generate models to predict soil properties. The GUI was developed to accomplish tasks such as perform a large range of spectral preprocessing techniques, implement several multivariate calibration methods, generate statistics assessment and graphical output, validate the models using independent dataset, and predict unknown variables using... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: GUI; R environment; Multivariate calibration; Spectral preprocessing; Pedometrics. |
Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832019000100303 |
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Santos,Larissa Rocha dos; Zangirolami,Marcela de Souza; Silva,Núbia Oliveira; Valderrama,Patrícia; Março,Paulo Henrique. |
Abstract: The objective of this work was to evaluate multivariate calibration models to predict total lipids, crude protein, and moisture content in grinded soybean grains using near-infrared spectroscopy and partial least squares (PLS). Three hundred samples of grinded soybean, evaluated in duplicate, were used for reference and spectral measurements. The PLS models for total lipids, crude protein, and moisture were validated by figures of merit for accuracy and precision, respectively, of 0.75 and 0.67 for total lipids, 0.51 and 0.46 for crude protein, and 0.97 and 0.99 for moisture. The PLS models developed for total lipids, crude protein, and moisture can be used as an alternative methodology for the determination of physicochemical parameters, and,... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Glycine max; Chemometric methods; Crude protein; Multivariate calibration; Partial least squares; Total lipids. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2018000100097 |
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