[3] [3] FENG Y Z, SUN D W. Application ofhyperspectral imaging in food safety inspection and control: A review[J]. Critical Reviews in Food Science & Nutrition, 2012, 52(11): 1039-1058.

[4] [4] ZHU M, HUANG D, HU X J, et al. Application of hyperspectral technology in detection of agricultural products and food: A review[J]. Food Science & Nutrition, 2020, 8(10): 5206-5214.

[5] [5] ZHOU Q, HUANG W Q, TIAN X, et al. Identification of the variety of maize seeds based on hyperspectral images coupled with convolutional neural networks and subregional voting[J]. Journal of the Science of Food and Agriculture, 2021, 101(11): 4532-4542.

[6] [6] JIN B Ch, ZHANG Ch, JIA L Q, et al. Identification of rice seed varieties based on near-infrared hyperspectral imaging technology combined with deep learning[J]. ACS Omega, 2022, 7(6): 4735-4749.

[9] [9] SEKI H, MA T, MURAKAMI H, et al. Visualization of sugar content distribution of white strawberry by near-infrared hyperspectral imaging[J]. Foods, 2023, 12(5): 931.

[11] [11] XUE H, YANG Y, XU X P, et al. Application of near infrared hyperspectral imaging technology in purity detection of hybrid maize[J]. Applied Sciences, 2023, 13(6): 3507.