Intelligent robots for fruit harvesting: recent developments and future challenges

Hongyu Zhou, Xing Wang, Wesley Au, Hanwen Kang, Chao Chen

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

Intelligent robots for fruit harvesting have been actively developed over the past decades to bridge the increasing gap between feeding a rapidly growing population and limited labour resources. Despite significant advancements in this field, widespread use of harvesting robots in orchards is yet to be seen. To identify the challenges and formulate future research and development directions, this work reviews the state-of-the-art of intelligent fruit harvesting robots by comparing their system architectures, visual perception approaches, fruit detachment methods and system performances. The potential reasons behind the inadequate performance of existing harvesting robots are analysed and a novel map of challenges and potential research directions is created, considering both environmental factors and user requirements.

Original languageEnglish
Number of pages52
JournalPrecision Agriculture
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • Fruit harvesting
  • Harvest challenges
  • Harvest performance
  • Harvesting robots

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