TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection
IntroductionTomatoes are one of the most economically significant crops worldwide, with their yield and quality heavily impacted by foliar diseases. Effective detection of these diseases is essential for enhancing agricultural productivity and mitigating economic losses. Current tomato leaf disease...
Saved in:
| Main Authors: | Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Guanghao Zhang, Hao Jin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-04-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1530070/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Res-RBG Facial Expression Recognition in Image Sequences Based on Dual Neural Networks
by: Xiangwei Mou, et al.
Published: (2025-06-01) -
URT-YOLOv11: A Large Receptive Field Algorithm for Detecting Tomato Ripening Under Different Field Conditions
by: Di Mu, et al.
Published: (2025-05-01) -
Disease Detection in Tomato Fruit Using Deep Learning Algorithms: Comparative Analysis
by: Fatma Feyza Akyol, et al.
Published: (2025-06-01) -
BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm
by: Qing Wang, et al.
Published: (2025-05-01) -
Tomato, Husk—Physalis pruinosa L.
by: James M. Stephens
Published: (2003-05-01)