MSOAR-YOLOv10: Multi-Scale Occluded Apple Detection for Enhanced Harvest Robotics
The accuracy of apple fruit recognition in orchard environments is significantly affected by factors such as occlusion and lighting variations, leading to issues such as missed and false detections. To address these challenges, particularly related to occluded apples, this study proposes an improved...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Horticulturae |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2311-7524/10/12/1246 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|