1. Nikolova, V.V., Nikolov, N.P., Popova, V.T., Peeva, S.T., Drachev, D.T.: Complex technological profiling of market dominating Oriental tobaccos from Krumovgrad region (Bulgaria). IOP Conf. Ser.: Mater. Sci. Eng. 1031(1), 012095 (2021)
2. He, Z.F., He, P.Y., Zhang, Y.H., Chen, G.C., Chen, D.D.: Real-time grouping of tobacco through channel weighting and dynamic loss regulation. Ind Crops Prod 195
3. Lu, M.Y., Jiang, S.W., Wang, C., Chen, D., Chen, T.E.: Tobacco leaf grading based on deep convolutional neural networks and machine vision. Am. Soc. Agric. Biol. Eng. 64(1), 11–22 (2021)
4. Wang, D., Li, G., Zhen, H., Wang, C.: Intelligent classification of tobacco leaves based on residual network. In: 2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 156–159 (2022)
5. Shen, H.C., Geng, Y.R., Ni, H.F., Wang, H., Wu, J.Z., Liao, F., Chen, Y., Liu, X.S.: Grade determination of flue-cured tobacco by near infrared spectroscopy combined with teaching-learning-based optimization algorithm optimized extreme learning machine. J. Instrum. Anal. 41(7), 1052–1057 (2023)