Research on Detection and Counting Method of Green Walnut Based on YOLOv8n-RBP
In natural environments, green walnuts often experience occlusion by branches and leaves, fruit overlap, and varying lighting conditions. To address the issues of low detection accuracy, missed detections, and false positives in the YOLO model, this study proposes an improved YOLOv8n-based detection...
Saved in:
| Main Authors: | Bangbang Chen, Keke Tan, Kun Li, Baojian Ma, Xiangdong Liu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10906562/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
OW-YOLO: An Improved YOLOv8s Lightweight Detection Method for Obstructed Walnuts
by: Haoyu Wang, et al.
Published: (2025-01-01) -
Investigation of Walnut Herbal Drug Raw Material
by: N. V. Chebyshev, et al.
Published: (2019-11-01) -
Testing of a machine for walnut cracking
by: Rajko BERNIK
Published: (2015-11-01) -
Effect of pH-Shifted Compound Heating Treatment on the Structure and Properties of Walnut Protein Isolate
by: Liwen Chai, et al.
Published: (2025-05-01) -
Effect of heat treatment on functional properties of walnut protein and enzymatic hydrolysis products of walnut meal
by: LIU Meng, SHAO Tengteng, HONG Jinming, FAN Fengjiao, ZHANG Jianming
Published: (2025-03-01)