StrawberryNet: Fast and Precise Recognition of Strawberry Disease Based on Channel and Spatial Information Reconstruction
Timely and effective identification and diagnosis of strawberry diseases play essential roles in the prevention of strawberry diseases. Nevertheless, various types of strawberry diseases with high similarity pose a great challenge to the accuracy of strawberry diseases, and the recent module with hi...
Saved in:
| Main Authors: | Xiang Li, Lin Jiao, Kang Liu, Qihuang Liu, Ziyan Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/7/779 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
SLFCNet: an ultra-lightweight and efficient strawberry feature classification network
by: Wenchao Xu, et al.
Published: (2025-01-01) -
Research on Lightweight Algorithm Model for Precise Recognition and Detection of Outdoor Strawberries Based on Improved YOLOv5n
by: Xiaoman Cao, et al.
Published: (2025-01-01) -
D-YOLO: A Lightweight Model for Strawberry Health Detection
by: Enhui Wu, et al.
Published: (2025-03-01) -
Florida Strawberry Production Costs and Trends
by: Zhengfei Guan, et al.
Published: (2018-01-01) -
Florida Strawberry Production Costs and Trends
by: Zhengfei Guan, et al.
Published: (2018-01-01)