Property-dependent predictive performance of linear and nonlinear models in NIR-based monitoring of apple maturity
Abstract This study aimed to evaluate the capability of near-infrared (NIR) spectroscopy combined with multivariate regression algorithms to predict physicochemical properties and characterize ripening-stage progression of Fuji apple. Spectral preprocessing included SNV and smoothing, and three regression algorithms (P...