4. Conclusions
A combination of hyperspectral imaging together with chemometrics, such as SPA and SVR, offers a fast, accurate, objective and non-invasive tool for the prediction of egg freshness. SPA–SVR calibration model achieved R2p = 0.87 and RPD = 2.80, suggesting that spatial and spectral information obtained from hyperspectral imaging is reliable for the assessment of egg freshness. In addition, SVC model offers 90.0% and 96.3% accuracy of identifying internal bubbles and scattered yolk, respectively. Results indicate the potential of hyperspectral imaging technique to become a rapid and objective internal quality assessment of eggs that may find applications in the egg industry.