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The objective of this research was to study the potential of nearinfrared (NIR) reflectance spectroscopy as ameans for nondestructive measurement of the firmness and sugar content of sweet cherries. NIR spectral data were collectedfrom Hedelfinger and Sam sweet cherries in the spectral region between 800 nm and 1700 nm. Statistical models weredeveloped using the partial least square method to predict the firmness and sugar content of sweet cherries. The models gaverelatively good predictions of the firmness of both Hedelfinger and Sam cherries, with corresponding r values of 0.80 and0.65 and standard errors of prediction (SEP) of 0.55 N and 0.44 N. The NIR models gave excellent predictions of the sugarcontent of the sweet cherries, with SEP values of 0.71 and 0.65 Brix for Hedelfinger and Sam, respectively. NIR reflectancespectroscopy can be used to predict the firmness and sugar content of sweet cherries.
Renfu Lu (Mon,) studied this question.