Moisture content prediction of cigar leaves air-curing process based on stacking ensemble learning model
This study provides a feasible and scalable solution for real-time and non-destructive monitoring of cigar leaf moisture content, offering effective technical support for similar agricultural and food drying applications.
Authors
- Kai Zhang (ORCID: https://orcid.org/0000-0002-3615-5616)
- Xiangdong Shi (ORCID: https://orcid.org/0009-0008-3616-701X)
- Songshuang Ding (ORCID: https://orcid.org/0000-0002-2192-3993)
- Z Xing (ORCID: https://orcid.org/0009-0004-9584-5811)
- Yaqi Shi
Institutions
- Hefei University of Technology (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Plant Science
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fpls.2025.1553110
- Citations
- 4
- Primary Topic
- Spectroscopy and Chemometric Analyses
- Type
- article
- Field-Weighted Citation Impact
- 3.01