D-YOLO: A Lightweight Model for Strawberry Health Detection
In complex agricultural settings, accurately and rapidly identifying the growth and health conditions of strawberries remains a formidable challenge. Therefore, this study aims to develop a deep framework, Disease-YOLO (D-YOLO), based on the YOLOv8s model to monitor the health status of strawberries...
Saved in:
| Main Authors: | Enhui Wu, Ruijun Ma, Daming Dong, Xiande Zhao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/6/570 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PCPE-YOLO with a lightweight dynamically reconfigurable backbone for small object detection
by: Weijia Chen, et al.
Published: (2025-08-01) -
YOLO-SMUG: An Efficient and Lightweight Infrared Object Detection Model for Unmanned Aerial Vehicles
by: Xinzhe Luo, et al.
Published: (2025-03-01) -
AH-YOLO: An Improved YOLOv8-Based Lightweight Model for Fire Detection in Aircraft Hangars
by: Li Deng, et al.
Published: (2025-05-01) -
YOLOv8n-SMMP: A Lightweight YOLO Forest Fire Detection Model
by: Nianzu Zhou, et al.
Published: (2025-05-01) -
FM‐YOLOv8:Lightweight gesture recognition algorithm
by: Fanghai Li, et al.
Published: (2024-11-01)