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Archie Jnr: A Robotic Platform for Autonomous Cane Pruning of Grapevines

  • Henry Williams*
  • , David Smith
  • , Jalil Shahabi
  • , Trevor Gee
  • , Ans Qureshi
  • , Ben McGuinness
  • , Scott Harvey
  • , Catherine Downes
  • , Rahul Jangali
  • , Kale Black
  • , Hin Lim
  • , Mike Duke
  • , Bruce A. MacDonald
  • *Corresponding author for this work

Publication: Chapter in Book/Report/Conference proceedingConference paper in proceedingspeer-review

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 languageEnglish
Title of host publication2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages11736-11743
Number of pages8
ISBN (Electronic)9798350377705
DOIs
Publication statusPublished - 2024
Externally publishedYes
Event2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024 - Abu Dhabi, United Arab Emirates
Duration: 14 Oct 202418 Oct 2024

Publication series

SeriesIEEE International Conference on Intelligent Robots and Systems
ISSN2153-0858

Conference

Conference2024 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period2024-10-142024-10-18

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

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