A detection method for synchronous recognition of string tomatoes and picking points based on keypoint detection
In the greenhouse environment, factors such as variable lighting conditions, the similarity in color between fruit stems and background, and the complex growth posture of string tomatoes lead to low detection accuracy for picking points. This paper proposes a detection method for the synchronous rec...
Saved in:
| Main Authors: | Linqiang Deng, Rongting Ma, BaoFan Chen, Guozhu Song |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-07-01
|
| Series: | Frontiers in Plant Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpls.2025.1614881/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Pose detection and localization of pineapple fruit picking based on improved litehrnet
by: Pinlan Chen, et al.
Published: (2025-05-01) -
Attention-Based Lightweight YOLOv8 Underwater Target Recognition Algorithm
by: Shun Cheng, et al.
Published: (2024-11-01) -
Tomato detection in natural environment based on improved YOLOv8 network
by: Wancheng Dong, et al.
Published: (2025-07-01) -
Multi-scale feature fusion keypoint detection network for ship draft line localization
by: Bo Zhang, et al.
Published: (2025-07-01) -
Pod-pose : an efficient top-down keypoint detection model for fine-grained pod phenotyping in mature soybean
by: Fei Liu, et al.
Published: (2025-06-01)