| Abstract
| - Experimental results are presented on the use of partial least squares (PLS) regression andwavelength selection for the definition of models for visible-near-infrared (Vis-NIR) evaluation ofsoluble solids content in fruits. First, the relatively easy to deal withbut still not studied in theliteraturecase of cherry fruit is presented in detail. By using a very simple selection scheme,involving the subsampling of the spectral interval from 600 to 1100 nm with a fixed step, accuratemodels were found, consistently showing very favorable combinations of SEC and SEP values, inthe 0.50 °Brix range for a total variation of about 15 °Brix. Apricot fruit represented a more difficultspecies, and wavelengths to be included in the calibration had to be individually selected for thebest results. Nevertheless, parsimonious models could be found, including a total of 38 spectrallines and leading to SEP values at the 0.75 °Brix level. Keywords: NIR; soluble solids content; nondestructive analysis; cherry; apricot; wavelengthselection; fruit quality
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