TY - JOUR
T1 - Intelligent robots for fruit harvesting
T2 - recent developments and future challenges
AU - Zhou, Hongyu
AU - Wang, Xing
AU - Au, Wesley
AU - Kang, Hanwen
AU - Chen, Chao
N1 - Funding Information:
We gratefully acknowledge the financial support from Australian Research Council (ARC ITRH IH150100006) and Thor Technology. We would like to thank Mr Charles Troeung, Dr Shao Liu and Dr Godfrey Keung in the Laboratory of Motion Generation Analysis at Monash University for their assistance on this work. We would also like to show our gratitude to Fankhauser Apples and Montague Fresh for their great support and comments on this work.
Funding Information:
Open Access funding enabled and organized by CAUL and its Member Institutions. This work is supported by ARC ITRH IH150100006 and Thor Technology.
Publisher Copyright:
© 2022, The Author(s).
PY - 2022/10
Y1 - 2022/10
N2 - 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.
AB - 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.
KW - Fruit harvesting
KW - Harvest challenges
KW - Harvest performance
KW - Harvesting robots
UR - http://www.scopus.com/inward/record.url?scp=85131313219&partnerID=8YFLogxK
U2 - 10.1007/s11119-022-09913-3
DO - 10.1007/s11119-022-09913-3
M3 - Review Article
AN - SCOPUS:85131313219
VL - 23
SP - 1856
EP - 1907
JO - Precision Agriculture
JF - Precision Agriculture
SN - 1385-2256
ER -