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.
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Official URL: http://www.m2vip.com/2006/index.htm
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.
| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
|---|---|
| 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. |
| Uncontrolled Keywords: | plants, cotton, geometrical parameters, geometric parameters, machine vision system, machine vision sensing |
| Fields of Research (FOR2008): | 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) |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280208 Computer Vision 290000 Engineering and Technology > 290300 Manufacturing Engineering > 290301 Robotics and Mechatronics |
| Socio-Economic Objective (SEO2008): | UNSPECIFIED |
| ID Code: | 2214 |
| Deposited By: | |
| Deposited On: | 11 Oct 2007 10:59 |
| Last Modified: | 08 Nov 2011 11:52 |
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