McCarthy, Cheryl and Hancock, Nigel and Raine, Steven R. (2006) On-the-go machine vision sensing of cotton plant geometric parameters: first results. In: 13th Annual Conference on Mechatronics and Machine Vision in Practice, 5-7 Dec 2006, Toowoomba, Australia.
Abstract
[Abstract]: 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: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | Author's version deposited in accordance with the copyright policy of the publisher. Full conference proceedings held in disk format in USQ Library at call no. AV 629.89 Con. |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013) |
| Date Deposited: | 11 Oct 2007 00:59 |
| Last Modified: | 02 Jul 2013 22:42 |
| Uncontrolled Keywords: | plants, cotton, geometrical parameters, geometric parameters, machine vision system, machine vision sensing |
| Fields of Research (2008): | 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) |
| URI: | http://eprints.usq.edu.au/id/eprint/2214 |
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