Development of a New Acoustic System for Nondestructive Internal Quality Assessment of Fruits

Author:

Tran Nhut-Thanh,Nguyen Cat-Tuong,Nguyen Huu-Phuoc,Truong Gia-Thuan,Nguyen Chanh-Nghiem,Fukuzawa Masayuki

Publisher

Springer Nature Singapore

Reference15 articles.

1. Mohd Ali, M., Hashim, N., Bejo, S.K., Shamsudin, R.: Rapid and nondestructive techniques for internal and external quality evaluation of watermelons: a review. Sci. Hortic. (Amsterdam) 225, 689–699 (2017). https://doi.org/10.1016/j.scienta.2017.08.012

2. Jie, D., Wei, X.: Review on the recent progress of non-destructive detection technology for internal quality of watermelon. Comput. Electron. Agric. 151, 156–164 (2018). https://doi.org/10.1016/j.compag.2018.05.031

3. Abbaszadeh, R., Rajabipour, A., Delshad, M., Mahjub, M., Ahmadi, H., Laguë, C.: Application of vibration response for the nondestructive ripeness evaluation of watermelons. Aust. J. Crop. Sci. 5, 920–925 (2011)

4. Chen, X., Yuan, P., Deng, X.: Watermelon ripeness detection by wavelet multiresolution decomposition of acoustic impulse response signals. Postharvest Biol. Technol. 142, 135–141 (2018). https://doi.org/10.1016/j.postharvbio.2017.08.018

5. Baki, S.R., Yassin, I.M., Hasliza, A.H., Zabidi, A.: Non-destructive classification of watermelon ripeness using mel-frequency cepstrum coefficients and multilayer perceptrons. In: The 2010 International Joint Conference on Neural Networks (IJCNN), pp. 1–6. IEEE (2010)

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