Rapid non-invasive assessment of quality parameters in ground soybean using near-infrared spectroscopy

Rapid non-invasive assessment of quality parameters in ground soybean using near-infrared spectroscopy

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 duplica...

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Bibliographic Details
Main Authors: Larissa Rocha dos Santos, Marcela de Souza Zangirolami, Núbia Oliveira Silva, Patrícia Valderrama, Paulo Henrique Março
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2018-01-01
Series:Pesquisa Agropecuária Brasileira
Subjects:
Glycine max
chemometric methods
crude protein
multivariate calibration
partial least squares
total lipids
Online Access:http://www.scielo.br/pdf/pab/v53n1/1678-3921-pab-53-01-00097.pdf

Internet

http://www.scielo.br/pdf/pab/v53n1/1678-3921-pab-53-01-00097.pdf

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