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.

Details

Title
Intelligent robots for fruit harvesting: recent developments and future challenges
Author
Zhou, Hongyu 1 ; Wang, Xing 1 ; Au, Wesley 1 ; Kang, Hanwen 1 ; Chen, Chao 1 

 Monash University, Department of Mechanical and Aerospace Engineering, Clayton, Australia (GRID:grid.1002.3) (ISNI:0000 0004 1936 7857) 
Pages
1856-1907
Publication year
2022
Publication date
Oct 2022
Publisher
Springer Nature B.V.
ISSN
13852256
e-ISSN
15731618
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2704768113
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.