Machine vision system for counting macadamia nuts
Paper
Paper/Presentation Title | Machine vision system for counting macadamia nuts |
---|---|
Presentation Type | Paper |
Authors | Dunn, Mark (Author) and Billingsley, John (Author) |
Editors | Roberts, Jonathan and Wyeth, Gordon |
Journal or Proceedings Title | Australasian Conference on Robotics and Automation 2003 |
Number of Pages | 5 |
Year | 2003 |
Place of Publication | Brisbane, Australia |
ISBN | 0958758352 |
Web Address (URL) of Paper | http://www.araa.asn.au/acra/acra2003/papers/01.pdf |
Conference/Event | 2003 Australasian Conference on Robotics and Automation (ACRA 2003) |
Event Details | 2003 Australasian Conference on Robotics and Automation (ACRA 2003) Event Date 01 to end of 03 Dec 2003 Event Location Brisbane, Australia |
Abstract | A need has been identified for more advanced technology to assist harvesting in the macadamia nut industry. An accurate automated method for counting nuts as they are harvested is required to replace manual labour in varietal strain investigation. A machine vision approach of counting the nuts in real time as they are collected has been chosen. This paper presents a machine vision system that implements fast, efficient algorithms for circle detection and object tracking. Experimental results from initial field tests show that the method is a viable option and further field trials will be undertaken. |
Keywords | macadamia nuts; Queensland nuts; counting; computer counting |
ANZSRC Field of Research 2020 | 300205. Agricultural production systems simulation |
460304. Computer vision | |
400799. Control engineering, mechatronics and robotics not elsewhere classified | |
469999. Other information and computing sciences not elsewhere classified | |
Public Notes | Copyright© ARAA |
Byline Affiliations | National Centre for Engineering in Agriculture |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q04w8/machine-vision-system-for-counting-macadamia-nuts
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