1. China Statistical Yearbook 2022. http://www.stats.gov.cn/sj/ndsj/2022/indexch.htm. Accessed 28 Jul 2023
2. Liu, J., Shen, J.Y., Shen, Z., Liu, R.: Grading tobacco leaves based on image processing and generalized regression neural network. In: ICADE, pp. 89–93. IEEE 345 E 47TH ST, New York, NY 10017 USA (2012)
3. Li, S., et al.: Comparison of tobacco grading methods based on hyperspectral information. Tobacco Sci. Technol. 54(10), 82–91 (2021)
4. Zhang, F., Zhang, X.: Classification and quality evaluation of tobacco leaves based on image processing and fuzzy comprehensive evaluation. Sensors 11(3), 2369–2384 (2011)
5. Yao, X., He, F., Ping, A., Luo, H., Guan, Q.: Leaf tobacco grading method based on PCA-GA-SVM. Tobacco Sci. Technol. 51(12), 98–105 (2018)