Tomato leaf disease detection method based on improved YOLOv8n

Tomato leaf disease detection method based on improved YOLOv8n

Abstract With the increasing demand for precision agriculture, automatic detection of tomato leaf diseases has become a critical technological challenge in smart agriculture. Among various diseases, Tomato Yellow Virus Leaf, due to its unique pathological characteristics, presents a particularly cha...

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Bibliographic Details
Main Authors: Ming Chen, Chunping Wang, Chengwei Liu, Ying Yu, Yuan Yuan, Jiaxuan Ma, Kaisheng Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
YOLOv8n
Tomato leaf disease detection
C2f-DynamicConv optimization module
SimAM attention mechanism
Dysample upsampling operator
GIoU loss function
Online Access:https://doi.org/10.1038/s41598-025-00405-8
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https://doi.org/10.1038/s41598-025-00405-8

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