<scp>YSFER</scp>‐Tobacco: an effective model for detection of non‐tobacco related materials in tobacco sorting process
Our study demonstrates the effectiveness and superiority of YSFER-Tobacco, providing theoretical support for assessing the quality of tobacco sorting, and has promising application prospects. In addition, we replicated the tobacco sorting environment and created the first dataset, Tobacco-2619, containing 2619 clear images with NTRMs. The dataset and code are available online (https://github.com/Ikaros-sc/Tobacco). © 2025 Society of Chemical Industry.
Authors
- Zaiqing Chen (ORCID: https://orcid.org/0000-0001-5074-4559)
- Yuecheng Qi
- Lijun Yun (ORCID: https://orcid.org/0000-0002-8455-9332)
- Cheng Shen (ORCID: https://orcid.org/0000-0001-7196-9239)
- Ruilin Luo
Institutions
- Yunnan Normal University (CN)
- China Tobacco (CN)
- Yunnan Provincial Department of Education (CN)
Publication Details
- Journal
- Journal of the Science of Food and Agriculture
- Published
- 2025-05-27
- DOI
- https://doi.org/10.1002/jsfa.14386
- Primary Topic
- Advanced Chemical Sensor Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00