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]: 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|
|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
|Depositing User:||epEditor USQ|
|Date Deposited:||11 Oct 2007 00:59|
|Last Modified:||02 Jul 2013 22:42|
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