MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions

MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions

Abstract Identification and diagnosis of tobacco diseases are prerequisites for the scientific prevention and control of these ailments. To address the limitations of traditional methods, such as weak generalization and sensitivity to noise in segmenting tobacco leaf lesions, this study focused on f...

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Bibliographic Details
Main Authors: Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Deep learning
Tobacco leaf diseases
Lesion segmentation
Convolutional neural networks
Online Access:https://doi.org/10.1038/s41598-025-87128-y
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