Machine vision system for counting macadamia nuts

Dunn, Mark and Billingsley, John (2003) Machine vision system for counting macadamia nuts. In: 2003 Australasian Conference on Robotics and Automation (ACRA 2003), 1-3 Dec 2003, Brisbane, Australia.

Text (Published Version)

Download (615Kb)


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.

Statistics for USQ ePrint 11393
Statistics for this ePrint Item
Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Copyright© ARAA
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 30 Nov 2007 11:55
Last Modified: 06 Mar 2018 02:49
Uncontrolled Keywords: macadamia nuts; Queensland nuts; counting; computer counting
Fields of Research : 07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070103 Agricultural Production Systems Simulation
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
09 Engineering > 0913 Mechanical Engineering > 091302 Automation and Control Engineering
?? 801 ??
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering

Actions (login required)

View Item Archive Repository Staff Only