DM-YOLO: improved YOLOv9 model for tomato leaf disease detection
In natural environments, tomato leaf disease detection faces many challenges, such as variations in light conditions, overlapping disease symptoms, tiny size of lesion areas, and occlusion between leaves. Therefore, an improved tomato leaf disease detection method, DM-YOLO, based on the YOLOv9 algor...
Saved in:
Main Authors: | Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-02-01
|
Series: | Frontiers in Plant Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2024.1473928/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Performance Comparison of Cherry Tomato Ripeness Detection Using Multiple YOLO Models
by: Dayeon Yang, et al.
Published: (2024-12-01) -
CSGD-YOLO: A Corn Seed Germination Status Detection Model Based on YOLOv8n
by: Wenbin Sun, et al.
Published: (2025-01-01) -
PC-CS-YOLO: High-Precision Obstacle Detection for Visually Impaired Safety
by: Jincheng Li, et al.
Published: (2025-01-01) -
Tropical cyclone intensity estimation based on YOLO-NAS using satellite images in real time
by: Priyanka Nandal, et al.
Published: (2025-02-01) -
Enhancing Intelligent Road Target Monitoring: A Novel BGS-YOLO Approach Based on the YOLOv8 Algorithm
by: Xingyu Liu, et al.
Published: (2024-01-01)