Exploiting the successive projections algorithm to improve the quantification of chemical constituents and discrimination of botanical origin of Argentinean bee-pollen
Federico Danilo Vallese, Soledad García Paoloni, Valeria Springer, David Fernandes, Paulo Henrique Gonçalves Dias Diniz, Marcelo F. Pistonesi
Topics & Concepts
ChemometricsPollenLinear discriminant analysisPartial least squares regressionMathematicsNear-infrared spectroscopyBee pollenPattern recognition (psychology)StatisticsArtificial intelligenceFood scienceComputer scienceChemistryBotanyBiologyMachine learningNeuroscienceBee Products Chemical AnalysisInsect and Pesticide ResearchMeat and Animal Product Quality