Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/35434
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Type: Conference paper
Title: Image processing and analysis for autonomous grapevine pruning
Author: Gao, M.
Lu, T.
Citation: Proceedings 2006 International Conference on mechatronics and automation, Luoyang, Henan, China, June 25-28, 2006:pp.922-927
Publisher: IEEE
Publisher Place: CDROM
Issue Date: 2006
ISBN: 1424404665
9781424404667
Conference Name: IEEE International Conference on Mechatronics and Automation (2006 : Luoyang, China)
Statement of
Responsibility: 
Ming Gao; Tien-Fu Lu
Abstract: In recent years, methods have been developed to automate vineyard operations to address the ever increased labor cost. One operation that has not been completely automated is grapevine pruning. A robotic machine for grapevine pruning needs to respond to the changing physical characteristics of the environment, and to date, no algorithm can accurately identified appropriate positions for grapevine pruning in a variety of environmental conditions. This paper presents the development of an image processing and image analysis algorithm to determine pruning position. Ten images full of canes were analyzed, and an 85% success rate for pruning positions was achieved.
Description: Copyright © 2006 IEEE
RMID: 0020062294
DOI: 10.1109/ICMA.2006.257748
Appears in Collections:Mechanical Engineering conference papers

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