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Exploring the potential of NIRS technology for the in situ prediction of amygdalin content and classification by bitterness of in-shell and shelled intact almonds

Miguel Vega-Castellote, Dolores Pérez‐Marín, Irina Torres, José-Manuel Moreno-Rojas, María‐Teresa Sánchez

2020Journal of Food Engineering23 citationsDOIOpen Access PDF

Topics & Concepts

AmygdalinPartial least squares regressionLinear discriminant analysisChemistryReceiver operating characteristicMathematicsFood scienceArtificial intelligencePattern recognition (psychology)StatisticsComputer scienceMedicineAlternative medicinePathologySpectroscopy and Chemometric AnalysesCassava research and cyanideIsotope Analysis in Ecology
Exploring the potential of NIRS technology for the in situ prediction of amygdalin content and classification by bitterness of in-shell and shelled intact almonds | Litcius