DiffuCNN: Tobacco Disease Identification and Grading Model in Low-Resolution Complex Agricultural Scenes

DiffuCNN: Tobacco Disease Identification and Grading Model in Low-Resolution Complex Agricultural Scenes

A novel deep learning model, DiffuCNN, is introduced in this paper, specifically designed for counting tobacco lesions in complex agricultural settings. By integrating advanced image processing techniques with deep learning methodologies, the model significantly enhances the accuracy of detecting to...

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Bibliographic Details
Main Authors: Huizhong Xiong, Xiaotong Gao, Ningyi Zhang, Haoxiong He, Weidong Tang, Yingqiu Yang, Yuqian Chen, Yang Jiao, Yihong Song, Shuo Yan
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Agriculture
Subjects:
tobacco disease identification
DiffuCNN
object detection
deep learning
Online Access:https://www.mdpi.com/2077-0472/14/2/318

Internet

https://www.mdpi.com/2077-0472/14/2/318

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