Page 245 - SDMD CNKT va CNTT trong tien trinh CNH_HDH DBSCL

Ding, C., Feng, Z., Wang, D., Cui, D., & Li, W. (2021). Acoustic vibration
technology: Toward a promising fruit quality detection method. Comprehensive
Reviews in Food Science and Food Safety, 20(2), 1655–1680.
https://doi.org/10.1111/1541-4337.12722
Ditcharoen, S., Sirisomboon, P., Saengprachatanarug, K., Phuphaphud, A., Rittiron,
R., Terdwongworakul, A., Malai, C., Saenphon, C., Panduangnate, L., &
Posom, J. (2023). Improving the non-destructive maturity classification model
for durian fruit using near-infrared spectroscopy. Artificial Intelligence in
Agriculture, 7, 35–43. https://doi.org/10.1016/j.aiia.2023.02.002
El-Mesery, H., Mao, H., & Abomohra, A. (2019). Applications of non-destructive
technologies for agricultural and food products quality inspection. Sensors,
19(4), 846. https://doi.org/10.3390/s19040846
Farneti, B., Khomenko, I., Pietrella, M., Martinatti, P., Emanuelli, F., Aprea, E.,
Maltoni, M. L., Baruzzi, G., Biasioli, F., & Giongo, L. (2021). Development of
a new phenotypic roadmap to improve strawberry aroma based on direct
injection mass spectrometry. Acta Horticulturae, 1309(1309), 971–978.
https://doi.org/10.17660/ActaHortic.2021.1309.138
Felix. (2024). Products - Felix Instruments. https://felixinstruments.com/food-
science-instruments/
Jaramillo-Acevedo, C. A., Choque-Valderrama, W. E., Guerrero-Álvarez, G. E., &
Meneses-Escobar, C. A. (2020). Hass avocado ripeness classification by mobile
devices using digital image processing and ANN methods. International
Journal of Food Engineering, 16(12). https://doi.org/10.1515/ijfe-2019-0161
Jie, D., & Wei, X. (2018). Review on the recent progress of non-destructive detection
technology for internal quality of watermelon. Computers and Electronics in
Agriculture, 151, 156–164. https://doi.org/10.1016/j.compag.2018.05.031
Kasim, N. F. M., Mishra, P., Schouten, R. E., Woltering, E. J., & Boer, M. P. (2021).
Assessing firmness in mango comparing broadband and miniature
spectrophotometers. Infrared Physics and Technology, 115(April), 103733.
https://doi.org/10.1016/j.infrared.2021.103733
Kharamat, W., Wongsaisuwan, M., & Wattanamongkhol, N. (2020). Durian ripeness
classification from the knocking sounds using convolutional neural network. In
th
2020 8 International Electrical Engineering Congress (IEECON) (pp. 1–4).
IEEE https://doi.org/10.1109/iEECON48109.2020.229571
Kinhal, V. (2019). Using dry matter as a measure of maturity and quality in mangos.
https://felixinstruments.com/blog/using-dry-matter-as-a-measure-of-maturity-
quality-in-mangos/
Lan, W., Jaillais, B., Leca, A., Renard, C. M. G. C., & Bureau, S. (2020). A new
application of NIR spectroscopy to describe and predict purees quality from the

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