The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion

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...

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Bibliographic Details
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:
Curing stage
Feature fusion
Bayesian optimization
Image classification
Ensemble learning
Online Access:https://doi.org/10.1186/s13007-025-01384-7
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https://doi.org/10.1186/s13007-025-01384-7

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