Research on a Tobacco Leaf Density Classification Method Based on Light Transmittance and Physical Indices

Xinruitong Liu; Mingzhan Lv; Yuanyuan Liu; Jie Zhu; Luoping Wang; Yingying Qian; Xiangyang Liu; Qianxu Yang

doi:10.2991/978-94-6463-910-0_35

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Research on a Tobacco Leaf Density Classification Method Based on Light Transmittance and Physical Indices

Authors

Xinruitong Liu¹, Mingzhan Lv², Yuanyuan Liu¹, Jie Zhu¹, Luoping Wang¹, Yingying Qian¹, Xiangyang Liu¹, Qianxu Yang¹^{, *}

¹Technology Center, China Tobacco Yunnan Industrial Co., Ltd., 181 Hongjin Road, Kunming, 650231, China

²Beihang Yunnan Innovation Institute, Shibo Road, Kunming, 650231, China

^*Corresponding author.

Corresponding Author

Qianxu Yang

Available Online 15 December 2025.

DOI: 10.2991/978-94-6463-910-0_35 How to use a DOI?
Keywords: tobacco leaf; density; light transmittance; physical indices; classification method; quality control
Abstract: This study proposes a scientific classification method for tobacco-leaf density that combines light transmittance with two physical indices—width-to-length ratio and grammage ratio—to overcome the limitations of traditional, experience-based approaches. After measuring light transmittance, we incorporate these physical indices to establish objective criteria. Three density classes—“loose,” “medium,” and “dense”—are defined by threshold transmittance values, and the physical indices are used to refine the classification. Experimental results show that the combined assessment significantly improves accuracy and consistency. The method is simple, fast, precise, and well-suited for large-scale industrial quality control of tobacco leaves.
Copyright: © 2025 The Author(s)
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2025 2nd International Symposium on Agricultural Engineering and Biology (ISAEB 2025)
Series: Advances in Biological Sciences Research
Publication Date: 15 December 2025
ISBN: 978-94-6463-910-0
ISSN: 2468-5747
DOI: 10.2991/978-94-6463-910-0_35 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Xinruitong Liu
AU  - Mingzhan Lv
AU  - Yuanyuan Liu
AU  - Jie Zhu
AU  - Luoping Wang
AU  - Yingying Qian
AU  - Xiangyang Liu
AU  - Qianxu Yang
PY  - 2025
DA  - 2025/12/15
TI  - Research on a Tobacco Leaf Density Classification Method Based on Light Transmittance and Physical Indices
BT  - Proceedings of the 2025 2nd International Symposium on Agricultural Engineering and Biology (ISAEB 2025)
PB  - Atlantis Press
SP  - 330
EP  - 336
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-910-0_35
DO  - 10.2991/978-94-6463-910-0_35
ID  - Liu2025
ER  -

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