Intelligent Grading of Tobacco Leaves Using an Improved Bilinear Convolutional Neural Network

Intelligent Grading of Tobacco Leaves Using an Improved Bilinear Convolutional Neural Network

At present, tobacco leaf grading relies mainly on manual classification, which is highly intensive with respect to labor, materials, and cost; in addition, the performance of manual grading is poor. The realization of automatic grading is an urgent requirement in the tobacco industry. To address thi...

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Bibliographic Details
Main Authors: Mengyao Lu, Cong Wang, Wenbiao Wu, Dinglian Zhu, Qiang Zhou, Zhiyong Wang, Tian'en Chen, Shuwen Jiang, Dong Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Bilinear convolutional neural network
deep learning
multi-level features
tobacco image classification
tobacco grading
Online Access:https://ieeexplore.ieee.org/document/10173480/

Internet

https://ieeexplore.ieee.org/document/10173480/

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