Article Details

Abstract

In response to the current challenges in industrial grading of tobacco leaves, which is primarily reliant on visual inspection and therefore time-consuming and costly, this paper integrates Near-Infrared (NIR) spectroscopy, Internet of Things (IoT), Information Technology (IT), and Artificial Intelligence (AI) to design and develop an intelligent grading system for raw tobacco. The system enables rapid assessment of the internal chemical quality of flue-cured tobacco leaves, utilizing auxiliary indicators such as sugar content, nitrogen content, and the sugar difference (total sugars minus reducing sugars) to classify tobacco grades. It promptly feeds results back to warehouses and assigns corresponding industrial grades, thereby enhancing the efficiency of tobacco quality evaluation and laying the foundation for homogeneous processing in re-drying. The system meets the requirements of cigarette manufacturing enterprises for lean quality management of tobacco leaf raw materials.

Keywords

flue-cured tobacco; industrial grading; Near-Infrared (NIR); flue-cured tobacco grading

References

1. [1] Zhu Hai, Liang Meng, Song Wenjing, etc The influence of climate factors on the quality and style characteristics of tobacco [J]. Jiangsu Agricultural Science, 2017, 45 (5): 63-69
2. [2] Zhang Fuguang Study on the Accumulation and Nutrient Absorption Patterns of Tobacco in Downhill Tobacco Areas under Different Fertilization Levels [J]. Modern Agricultural Science and Technology, 2022 (19): 10-13
3. [3] Yao Shaoyun Analysis of Quality of Tobacco Leaves after Different Harvesting Maturity [D]. Changsha: Hunan Agricultural University, 2024
4. [4] Chen Bin, Xu Weijie, Wang Chao, etc Comparative study on the quality and industrial recognition of commercial tobacco purchase grades [J]. Chinese Journal of Tobacco, 2022, 28 (1): 108-114
5. [5] Chu Jideng, Gu Yumin, Cai Xianjie, etc Analysis of the Relationship between Main Physical and Chemical Indicators and Sensory Evaluation of Smoking Quality of Freshly Baked Tobacco Leaves in Wenshan [J]. Northeast Agricultural Science, 2022, 47 (2): 150-155
6. [6] Li Zilin, Qin Na Comparative analysis of tobacco quality among different tobacco varieties [J]. Modern Agricultural Science and Technology, 2024 (2): 136-139
7. [7] Li Chao Construction and industrial application of a new technology system for enhancing the characteristics of cloud produced cigarettes from tobacco sources [EB/OL]. (2022-04-13) [2026-01-03] https://kns.cnki.net/kcms2/article/abstract?v = hUjjRxyvaVM1G8gt3jbmuW4x64UvELKKbQrvEaciGcvlIrYon9ELLWSuUV-AkwMakCwPVRXAGHpo8gmojW6Y91u0RfFMyr5oETvSZEzhFoic9xuZP38KgtV3-mFrvaEO_2VGB_E5dMxuDgSnRDgrVPia5KI4FCDKVm_t9ZNd6ju30_xKPN9PEQ = = &uniplatform = NZKPT&language = CHS.
8. [8] Zheng Chengxu, Jiang Jialei, Li Qingxiang, etc Progress in the Application of Near Infrared Spectroscopy Technology in the Tobacco Industry [J]. Chinese Journal of Inorganic Analytical Chemistry, 2026, 16 (2): 206-218
9. [9] Li Yi, Wu Lei, Ouyang Xiaodong, etc The effect of leaf beating and re drying process on the conventional chemical composition of upper tobacco leaves [J]. Journal of Yunnan Agricultural University (Natural Science), 2025, 40 (4): 86-91
10. [10] Liang Yang, Zhao Gaohong, Zhang Xiangyang, etc Exploration and Application Practice of Cloud Native Architecture Technology [J]. Telecommunications Engineering Technology and Standardization, 2024, 37 (11): 77-87
11. [11] Zhou Xinyu, Chen Wei, Wu Guoquan, etc REST API Design Analysis and Empirical Research [J]. Journal of Software, 2022, 33 (9): 3271-3296

Funding

Yunnan Tobacco Industry Co., Ltd. Technology Project (2023YL04)

About the authors

Zhang Tao (1987-), male, Han nationality, from Zhaotong, Yunnan, engineer, master's student, research direction: tobacco raw material logistics management; Tang Lilin (1986-), female, Han nationality, from Qujing, Yunnan, assistant engineer, undergraduate, research direction: quality of leaf cutting and re baking process; Feng Lingfan (1984-), female, Han ethnicity, from Qujing, Yunnan, assistant engineer, undergraduate, research direction: tobacco quality control; Li Chunyan (1975-), female, Han nationality, from Chuxiong, Yunnan, assistant agronomist, undergraduate, research direction: tobacco production and grading; Han Ying (1983-), male, Han ethnicity, from Nanyang, Henan, engineer, master's student, research direction: tobacco quality control; Corresponding author: Wang Luoping (1980-), female, Han ethnicity, from Yuxi, Yunnan, engineer, master's student, research direction: tobacco quality control and near-infrared applications.