Abstract
Cane pruning grapevines is a complex manual task requiring expert vine assessment to determine which canes to prune. This paper presents Archie Jnr, which was developed to autonomously assess the structure of the vine and prune the lower-quality canes as an expert pruner would. The platform has been extensively evaluated in a real-world commercial vineyard using a three-cane pruning method. The results show the effectiveness of the vision system for generating accurate assessments of a vine's canes. The platform is also shown to be capable of successfully pruning 71.1% of the 311 total canes that required pruning across 25 vines.
| Original language | English |
|---|---|
| Title of host publication | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 11736-11743 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798350377705 |
| DOIs | |
| Publication status | Published - 2024 |
| Externally published | Yes |
| Event | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates Duration: 14 Oct 2024 → 18 Oct 2024 |
Publication series
| Series | IEEE International Conference on Intelligent Robots and Systems |
|---|---|
| ISSN | 2153-0858 |
Conference
| Conference | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 |
|---|---|
| Country/Territory | United Arab Emirates |
| City | Abu Dhabi |
| Period | 2024-10-14 → 2024-10-18 |
Bibliographical note
Publisher Copyright:© 2024 IEEE.
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver