D<sup>3</sup>-YOLOv10: Improved YOLOv10-Based Lightweight Tomato Detection Algorithm Under Facility Scenario
Accurate and efficient tomato detection is one of the key techniques for intelligent automatic picking in the area of precision agriculture. However, under the facility scenario, existing detection algorithms still have challenging problems such as weak feature extraction ability for occlusion condi...
Saved in:
| Main Authors: | Ao Li, Chunrui Wang, Tongtong Ji, Qiyang Wang, Tianxue Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/14/12/2268 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BED-YOLO: An Enhanced YOLOv10n-Based Tomato Leaf Disease Detection Algorithm
by: Qing Wang, et al.
Published: (2025-05-01) -
YOLOv10-kiwi: a YOLOv10-based lightweight kiwifruit detection model in trellised orchards
by: Jie Ren, et al.
Published: (2025-08-01) -
A Comparative Analysis of YOLOv9, YOLOv10, YOLOv11 for Smoke and Fire Detection
by: Eman H. Alkhammash
Published: (2025-01-01) -
BRA-YOLOv10: UAV Small Target Detection Based on YOLOv10
by: Quanyu Zhang, et al.
Published: (2025-02-01) -
EAD-YOLOv10: Lightweight Steel Surface Defect Detection Algorithm Research Based on YOLOv10 Improvement
by: Hu Haoyan, et al.
Published: (2025-01-01)