Improvements to and large‐scale evaluation of a robotic kiwifruit harvester. Issue 2 (16th July 2019)
- Record Type:
- Journal Article
- Title:
- Improvements to and large‐scale evaluation of a robotic kiwifruit harvester. Issue 2 (16th July 2019)
- Main Title:
- Improvements to and large‐scale evaluation of a robotic kiwifruit harvester
- Authors:
- Williams, Henry
Ting, Canaan
Nejati, Mahla
Jones, Mark Hedley
Penhall, Nicky
Lim, JongYoon
Seabright, Matthew
Bell, Jamie
Ahn, Ho Seok
Scarfe, Alistair
Duke, Mike
MacDonald, Bruce - Other Names:
- Lehnert Chris guestEditor.
McCool Chris guestEditor.
Corke Peter guestEditor.
Sa Inkyu guestEditor.
Stachniss Cyrill guestEditor.
Van Henten Eldert J. guestEditor.
Nieto Juan guestEditor. - Abstract:
- Abstract: The growing popularity of kiwifruit orchards in New Zealand is increasing the already high demand for seasonal labourers. A novel robotic kiwifruit harvester has been designed and built to help meet this demand [H. A. Williams et al. Biosystems Eng. 181 (2019), pp. 140–156]. Early evaluations of the platform have shown good results with the system capable of harvesting 51.0% of 1, 456 kiwifruit in four bays with an average cycle‐time of 5.5 s/fruit. However, the harvester's high cycle‐time, and high fruit loss rate at 23.4%, prevent it from being commercially viable. This paper presents two new developments for the harvesting system, a new vision system and two new gripper variations designed to overcome the harvester's previous limitations. Furthermore, we have designed and conducted the largest real‐world evaluation of a robotic fruit harvesting system published to date with over 12, 000 kiwifruit involved. The results of this trial demonstrated that our kiwifruit harvester is one of the most effective selective fruit harvesters in the world capable of successfully harvesting 86.0% of reachable fruit, and 55.8% of all kiwifruit with a cycle‐time of 2.78 s/fruit.
- Is Part Of:
- Journal of field robotics. Volume 37:Issue 2(2020)
- Journal:
- Journal of field robotics
- Issue:
- Volume 37:Issue 2(2020)
- Issue Display:
- Volume 37, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 37
- Issue:
- 2
- Issue Sort Value:
- 2020-0037-0002-0000
- Page Start:
- 187
- Page End:
- 201
- Publication Date:
- 2019-07-16
- Subjects:
- convolution neural networks -- end‐effector -- harvesting -- horticulture -- kiwifruit -- machine vision -- neural networking -- orchard -- robotics
Robots, Industrial -- Periodicals
Automatic control -- Periodicals
629.892 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1556-4967 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/rob.21890 ↗
- Languages:
- English
- ISSNs:
- 1556-4959
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4984.130000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12929.xml