The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion
Abstract The diverse visual features of tobacco leaves during various curing stages are influenced by multiple factors such as the origin of the tobacco and the environment of the curing room, making precise identification challenging with single features or models. To address this issue, this study...
Saved in:
| Main Authors: | Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-06-01
|
| Series: | Plant Methods |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13007-025-01384-7 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
TCSRNet: a lightweight tobacco leaf curing stage recognition network model
by: Panzhen Zhao, et al.
Published: (2024-12-01) -
Molecular mechanism study on the contribution of open-fire flue-curing technology to tobacco leaf aroma
by: Kaiyuan Gu, et al.
Published: (2025-05-01) -
Distribution and relationship of phosphorus content in flue-cured tobacco leaf and phosphorus content in soil in Hunan tobacco-growing areas
by: XU Zi-cheng, et al.
Published: (2007-05-01) -
Intelligent recognition of tobacco leaves states during curing with deep neural network
by: Qiang Xu, et al.
Published: (2025-07-01) -
Effects of Different Curing Methods on the Quality of Stinky Mandarin Fish
by: Xiaoqian ZOU, et al.
Published: (2025-07-01)