Application of Hyperspectral Technology with Machine Learning for Brix Detection of Pastry Pears
Hongkun Ouyang,
Lingling Tang,
Jinglong Ma
et al.
Abstract:Sugar content is an essential indicator for evaluating crisp pear quality and categorization, being used for fruit quality identification and market sales prediction. In this study, we paired a support vector machine (SVM) algorithm with genetic algorithm optimization to reliably estimate the sugar content in crisp pears. We evaluated the spectral data and actual sugar content in crisp pears, then applied three preprocessing methods to the spectral data: standard normal variable transformation (SNV), multivari… Show more
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