TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model

TDR-Model: Tomato Disease Recognition Based on Image Dehazing and Improved MobileNetV3 Model

Currently, deep learning applications in tomato disease recognition are becoming widespread. However, in greenhouse tomato cultivation environments, many techniques neglect the foggy image caused by wet conditions, adversely affecting the performance of disease recognition models, which still remain...

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Bibliographic Details
Main Authors: Zhixiang Zhang, Tong Liu, Jinyu Gao, Meng Yang, Wenjun Luo, Fanqiang Lin
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Tomato disease recognition
dark channel prior dehazing algorithm
deep learning
image preprocessing
lightweight model
Online Access:https://ieeexplore.ieee.org/document/10813355/
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