Non-destructive quality evaluation and crack detection of eggs
DOI:
https://doi.org/10.17205/SZIE.AWETH.2019.1.029Keywords:
acoustic, eggshell, crackAbstract
Our aims were the examination of the quality parameters of hen eggs and crack detection carried out by the use of the acoustic response technique. Alltogether 150 eggs were tested during the measurement. The samples were stored for 7 weeks at ambient (room) tempereature. The samples were excited in two positions (upright and horizontal). The received signal spectra and their wavelet transformations were analyzed. After the preprocessing, the obtained coefficients were used as input variables for the estimation of the physical parameters by partial least squares regression. Goodness of fit (GoF) statistics were used to evaluate the applicability of the method. Spectral data were used for classification by crack presence and age by linear discriminant analysis. Every estimation was validated by 10-fold cross-validation. Best approximations were achived for mass in case of measured in the upright position of the egg sample. With the optimum signal processing parameters the samples can be classified 100% correctly for crack detection and age estimation as well.
References
Attar, M. Z., Fathi, M. M. (2014): Non-Destructive Acoustic Resonance Method for Evaluating Eggshell Strength and Thickness, International Journal of Biophysics, 4 (1), 9–15.
Bain, M. M., Dunn, I. C., Wilson, P. W., Joseph, N., De Ketelaere, B., De Baerdemaeker, J., Waddington, D. (2006): Probability of an egg cracking during packing can be predicted using a simple non-destructive acoustic test, British Poultry Science, 47 (4), 462–469. https://doi.org/10.1080/00071660600829233
Cho, H. K., Choi, W. K., Paek, J. H., (2000): Detection of surface cracks in shell eggs by acoustic impulse method, Transactions of the ASAE, 43 (6), 1921–1926. https://doi.org/10.13031/2013.3097
Deng, X., Wang, Q., Chen, H., Xie, H. (2010): Eggshell crack detection using a wavelet-based support vector machine, Computers and Electronics in Agriculture, 70 (1), 135–143. https://doi.org/10.1016/j.compag.2009.09.016
Jin, Ch., Xie, L., Ying, Y. (2015): Eggshell crack detection based on the time-domain acoustic signal of rolling eggs on a step-plate, Journal of Food Engineering, 157, 53–62. https://doi.org/10.1016/j.jfoodeng.2014.12.011
Li, P., Wang, Q., Zhang, Q., Cao, Sh., Liu, Y., Zhu, T. (2012): Non-destructive Detection on the Egg Crack Based on Wavelet Transform, International Conference on Future Computer Supported Education, IERI Procedia 2, 372–382. https://doi.org/10.1016/j.ieri.2012.06.104
Pan, L., Tu, K., Zhao, L., Pan, X. (2005): Preliminary research of chicken egg crack detection based on acoustic resonance analysis, Transactions of the Chinese Society of Agricultural Engineering, 21 (4), 11–15.
Zhang, W., Pan, L., Tu, S., Zhan, G., Tu, K. (2015): Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis, Journal of Food Engineering, 157, 41–48. https://doi.org/10.1016/j.jfoodeng.2015.02.013
Zhu, Z., Wu, L., Hu, D., Wen, Y. (2012): Cracked-Shell Detection of Preserved Eggs Based on Bayes Theory in Mechacincal Engineering, 2012 International Conference on Mechanical and Electronic Engineering https://doi.org/10.1007/978-3-642-31507-7_13
Zsom-Muha, V., Felföldi, J., (2007): Vibration Behavior of Long Shape Vegetables, Progress in Agricultural Engineering Sciences, 3, 21–46. https://doi.org/10.1556/progress.3.2007.2
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Copyright (c) 2019 Kertész István, Zsomné Muha Viktória, Zsom Tamás, András Rebeka, Nagy Dávid, Felföldi József
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