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	Provedor de dados AgEcon (1) PAB (1) Autor Islam, Nazrul (1) Jackson, Elizabeth (1) Março,Paulo Henrique (1) Quaddus, Mohammed (1) Santos,Larissa Rocha dos (1) Silva,Núbia Oliveira (1) Stanton, John (1) Valderrama,Patrícia (1) Zangirolami,Marcela de Souza (1) Mais... Palavra-chave Partial least squares (2) Chemometric methods (1) Complexity (1) Crude protein (1) Forward contracts (1) Glycine max (1) Multivariate calibration (1) Q120 (1) Q130 (1) Risk (1) Risk and Uncertainty (1) Structural equation modelling (1) Total lipids (1) Mais... Tipo do documento Conference Paper or Presentation (1) Info:eu-repo/semantics/article (1) Ano 2018 (1) 2008 (1) País Brazil (1) United States (1) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Rapid non-invasive assessment of quality parameters in ground soybean using near-infrared spectroscopy PAB 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 A mixed-method approach for determining the risk and complexity farmers associate with using forward contracts AgEcon Jackson, Elizabeth; Quaddus, Mohammed; Islam, Nazrul; Stanton, John. This paper reports on a model that was developed to understand the behavioural determinants surrounding farmers’ adoption of forward contracts for agricultural commodities. Based on the Theory of Planned Behaviour and Diffusion of Innovations, 28 hypotheses within the model were written and then tested via a telephone survey that gathered 305 responses from Western Australian wool producers. The data from the telephone survey were analysed using SPSS 14 and the Partial Least Squares approach to Structural Equation Modelling. Most relationships within the model could be explained after rigorous quantitative analysis, however, further explanation was required to understand two final aspects of adoption behaviour: firstly, the sources of risk wool... Tipo: Conference Paper or Presentation Palavras-chave: Risk; Complexity; Forward contracts; Structural equation modelling; Partial least squares; Risk and Uncertainty; Q120; Q130. Ano: 2008 URL: http://purl.umn.edu/42305 Registros recuperados: 2 Primeira ... 1 ... Última

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