Sammanfattning
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.
| Originalspråk | Engelska |
|---|---|
| Titel på värdpublikation | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 |
| Förlag | Institute of Electrical and Electronics Engineers Inc. |
| Sidor | 11736-11743 |
| Antal sidor | 8 |
| ISBN (elektroniskt) | 9798350377705 |
| DOI | |
| Status | Publicerad - 2024 |
| Externt publicerad | Ja |
| Evenemang | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, Förenade Arabemiraten Varaktighet: 14 okt. 2024 → 18 okt. 2024 |
Publikationsserier
| Serie | IEEE International Conference on Intelligent Robots and Systems |
|---|---|
| ISSN | 2153-0858 |
Konferens
| Konferens | 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 |
|---|---|
| Land/Territorium | Förenade Arabemiraten |
| Ort | Abu Dhabi |
| Period | 2024-10-14 → 2024-10-18 |
Bibliografisk information
Publisher Copyright:© 2024 IEEE.
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