[1] [1] Sanchez P D C, Hashim N, Shamsudin R, et al. Applications of imaging and spectroscopy techniques for non-destructive quality evaluation of potatoes and sweet potatoes: A review［J］. Trends in Food Science & Technology,2020,96:208-221.

[2] [2] Adebayo S E, Hashim N, Abdan K, et al. Application and potential of backscattering imaging techniques in agricultural and food processing-A review［J］. Journal of Food Engineering,2016,169:155-164.

[3] [3] Hashim N, Pflanz M, Regen C, et al. An approach for monitoring the chilling injury appearance in bananas by means of backscattering imaging［J］. Journal of Food Engineering,2013,116(1):28-36.

[4] [4] Mollazade K, Omid M, Tab F A, et al. Analysis of texture-based features for predicting mechanical properties of horticultural products by laser light backscattering imaging［J］. Computers and Electronics in Agriculture,2013,98:34-45.

[5] [5] Zulkifli N, Hashim N, Abdan K, et al. Application of laser-induced backscattering imaging for predicting and classifying ripening stages of “Berangan” bananas［J］. Computers and Electronics in Agriculture,2019,160:100-107.

[6] [6] Kalaj Y R, Mollazade K, Herppich W, et al. Changes of backscattering imaging parameter during plum fruit development on the tree and during storage［J］. Scientia Horticulturae,2016,202:63-69.

[7] [7] Romano G, Argyropoulos D, Nagle M, et al. Combination of digital images and laser light to predict moisture content and color of bell pepper simultaneously during drying［J］. Journal of Food Engineering,2012,109(3):438-448.

[8] [8] Wu A, Zhu J, Ren T. Detection of apple defect using laser-induced light backscattering imaging and convolutional neural network［J］. Computers & Electrical Engineering,2020,81:106454.

[9] [9] Lorente D, Zude M, Regen C, et al. Early decay detection in citrus fruit using laser-light backscattering imaging［J］. Postharvest biology and technology,2013,86:424-430.

[10] [10] Ali M M, Hashim N, Bejo S K, et al. Laser-induced backscattering imaging for classification of seeded and seedless watermelons［J］. Computers and Electronics in Agriculture,2017,140:311-316.

[11] [11] Babazadeh S, Moghaddam P A, Sabatyan A, et al. Classification of potato tubers based on solanine toxicant using laser-induced light backscattering imaging［J］. Computers and Electronics in Agriculture,2016,129:1-8.

[12] [12] Onwude D I, Hashim N, Abdan K, et al. Combination of computer vision and backscattering imaging for predicting the moisture content and colour changes of sweet potato (Ipomoea batatas L.) during drying［J］. Computers and Electronics in Agriculture,2018,150:178-187.

[13] [13] Geng J, Xiao L, He X, et al. Discrimination of clods and stones from potatoes using laser backscattering imaging technique［J］. Computers and Electronics in Agriculture,2019,160:108-116.

[15] [15] Sanchez P D C, Hashim N, Shamsudin R, et al. Laser-light backscattering imaging approach in monitoring and classifying the quality changes of sweet potatoes under different storage conditions［J］. Postharvest Biology and Technology,2020,164:111163.

[16] [16] Birth G S. How light interacts with foods. In: Quality detection in foods［J］. ASAE, St Joseph, USA,1976:6-11.

[17] [17] Niemz M H. Laser-tissue interactions［M］. Springer-Verlag Berlin Heidelberg,2007.

[18] [18] Karen Simonyan, Andrew Zisserman. Very deep convolutional networks for large-scale image recognition［J］. CoRR,2014,abs/1409:1556.