Apple Rootstock Cutting Drought-Stress-Monitoring Model Based on IMYOLOv11n-Seg
To ensure the normal water status of apple rootstock softwood cuttings during the initial stage of cutting, a drought stress monitoring model was designed. The model is optimized based on the YOLOv11n-seg instance segmentation model, using the leaf curl degree of cuttings as the classification basis...
Saved in:
| Main Authors: | Xu Wang, Hongjie Liu, Pengfei Wang, Long Gao, Xin Yang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-07-01
|
| Series: | Agriculture |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-0472/15/15/1598 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PS-YOLO-seg: A Lightweight Instance Segmentation Method for Lithium Mineral Microscopic Images Based on Improved YOLOv12-seg
by: Zeyang Qiu, et al.
Published: (2025-07-01) -
FCB-YOLOv8s-Seg: A Malignant Weed Instance Segmentation Model for Targeted Spraying in Soybean Fields
by: Zishang Yang, et al.
Published: (2024-12-01) -
Drought Stress Grading Model for Apple Rootstock Softwood Cuttings Based on the CU-ICA-Net
by: Xu Wang, et al.
Published: (2025-06-01) -
Application of the YOLOv11-seg algorithm for AI-based landslide detection and recognition
by: Luhao He, et al.
Published: (2025-04-01) -
Impurity rates detection for pepper harvesting based on YOLOv8n-Seg-ASB and random forest
by: Lijian Lu, et al.
Published: (2025-12-01)