Hybrid attention transformer integrated YOLOV8 for fruit ripeness detection
Abstract The complexity of the outdoor orchard environment, especially the changes in light intensity and the shadows generated by fruit clusters, present challenges in the identification and classification of mature fruits. To solve these problems, this paper proposes an innovative fruit recognitio...
Saved in:
| Main Authors: | Jianyin Tang, Zhenglin Yu, ChangShun Shao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-04184-0 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Strawberry Ripeness Detection Method Based on Improved YOLOv8
by: Yawei Yue, et al.
Published: (2025-06-01) -
Improved model MASW YOLO for small target detection in UAV images based on YOLOv8
by: Xianghe Meng, et al.
Published: (2025-07-01) -
MAH-YOLO: an enhanced YOLOv8n framework for loess landslide detection with multi-attention mechanisms
by: Yuan Liang, et al.
Published: (2025-08-01) -
Automated detection of diabetic retinopathy lesions in ultra-widefield fundus images using an attention-augmented YOLOv8 framework
by: Lei-Si Hu, et al.
Published: (2025-07-01) -
An enhanced YOLOv8 model for accurate detection of solid floating waste
by: Juxing Di, et al.
Published: (2025-07-01)