On-the-go machine vision sensing of cotton plant geometric parameters: first results

McCarthy, Cheryl and Hancock, Nigel and Raine, Steven (2008) On-the-go machine vision sensing of cotton plant geometric parameters: first results. In: Mechatronics and machine vision in practice. Springer-Verlag, Berlin, Germany, pp. 305-312. ISBN 978-3-540-74026-1

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Plant geometrical parameters such as internode length (i.e. the distance between successive branches on the main stem) indicate water stress in cotton. This paper describes a machine vision system that has been designed to measure internode length for the purpose of determining real-time cotton plant irrigation requirement. The imaging system features an enclosure which continuously traverses the crop canopy and forces the flexible upper main stem of individual plants against a glass panel at the front of the enclosure, hence allowing images of the plant to be captured in a fixed object plane. Subsequent image processing of selected video sequences enabled detection of the main stem in 88% of frames. However, node detection
was subject to a high false detection rate due to leaf edges present in the images. Manual identification of nodes in the acquired imagery enabled measurement of internode lengths with 3% standard error.

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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Additional Information (displayed to public): © 2008 Springer-Verlag. Permanent restricted access to published version due to publisher copyright policy. Print copy held in USQ Library at call no. 621 Bil.
Depositing User: Ms Cheryl McCarthy
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 06 Jan 2009 05:06
Last Modified: 25 Mar 2015 05:30
Uncontrolled Keywords: machine vision systems; cotton; geometric parameters
Fields of Research (FoR): 06 Biological Sciences > 0607 Plant Biology > 060705 Plant Physiology
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
09 Engineering > 0910 Manufacturing Engineering > 091007 Manufacturing Robotics and Mechatronics (excl. Automotive Mechatronics)
Socio-Economic Objective (SEO): B Economic Development > 82 Plant Production and Plant Primary Products > 8203 Industrial Crops > 820301 Cotton
Identification Number or DOI: 10.1007/978-3-540-74027-8_26
URI: http://eprints.usq.edu.au/id/eprint/4677

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