![]() ![]() After harvesting, apples are transported immediately from the orchard to the shed storage. Apples are available throughout the year due to the advanced and strict storage control. The apple, famous for its rich vitamin and mineral with high-nutritional value, is one of the most consumed fruits worldwide. The best prediction models for SSC and firmness parameters were achieved based on the μ a × μ s′, whereas those for color parameters of b* and C* were based on the μ eff, with the correlation coefficients of prediction as 0.66, 0.68, 0.73, 0.79, 0.86, and 0.86, respectively. Better prediction results for quality parameters based on the μ a were observed than those based on the μ s′, and the combinations further improved the prediction performance, compared to the individual μ a or μ s′. Support vector machine (SVM), multiple linear regression (MLR), and partial least square (PLS) models were developed based on μ a, μ s′ and their combinations ( μ a × μ s′ and μ eff) for predicting apple qualities, among which SVM outperformed the best. ![]() ![]() There was no noticeable spatial variation in the optical property mapping based on the resulting effect of different sizes of the region of interest (ROI) on the average optical properties. ![]() A laboratory-based multispectral SFDI system was developed for acquiring SFDI of 140 “Golden Delicious” apples, from which absorption coefficient ( μ a) and reduced scattering coefficient ( μ s′) mappings were quantitatively determined using the three-phase demodulation coupled with curve-fitting method. This paper reports on the measurement of optical property mapping of apples at the wavelengths of 460, 527, 630, and 710 nm using spatial-frequency domain imaging (SFDI) technique, for assessing the soluble solid content (SSC), firmness, and color parameters.
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