Recognition of kiwifruit pruning position based on vine segmentation and dormant bud detection with their planar distribution
Computers and Electronics in Agriculture, cilt.250, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 250
- Basım Tarihi: 2026
- Doi Numarası: 10.1016/j.compag.2026.111942
- Dergi Adı: Computers and Electronics in Agriculture
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Applied Science & Technology Source, BIOSIS, Compendex, Environment Index, Geobase, INSPEC, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Technology Collection (ProQuest)
- Anahtar Kelimeler: Dormant bud detection, Kiwifruit winter pruning, Pruning position recognition, Vine segmentation, YOLO11x
- Akdeniz Üniversitesi Adresli: Evet
Özet
Kiwifruit winter pruning is a laborious, seasonal, and irreversible operation. The key to achieving automatic winter pruning of kiwifruit lies in the recognition of pruning position. In this study, a method based on kiwifruit vine segmentation and dormant bud detection with their planar distribution was developed to recognize the pruning position of kiwifruit vine. Firstly, YOLO11x-seg and YOLO11x were applied to segment vines and detect dormant buds, respectively. Secondly, the DBSCAN algorithm was applied to remove wrongly segmented vine, and vine skeleton was then extracted. Thirdly, dormant buds were matched with their corresponding canes based on the overlap ratio, and then ordered from the cane base. Finally, the pruning position was recognized based on the planar distribution of vines and dormant buds. Results showed that YOLO11x-seg and YOLO11x achieved an outstanding performance with segmentation and detection mAP of 82.5% and 89.0%, respectively. The method proposed in this study attained pruning position recognition accuracies of 77.3%, 81.8%, and 88.9% under the three pruning strategies of cane short-truncation, lateral cane removal, and cane renewal, respectively. These results indicate that the proposed method is promising for robotic winter pruning of kiwifruit.