Automatic non-destructive dimensional measurement of cotton plants in real-time by machine vision
PhD Thesis
Title | Automatic non-destructive dimensional measurement of cotton plants in real-time by machine vision |
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Type | PhD Thesis |
Authors | |
Author | McCarthy, Cheryl |
Supervisor | Hancock, Nigel |
Institution of Origin | University of Southern Queensland |
Qualification Name | Doctor of Philosophy |
Number of Pages | 216 |
Year | 2009 |
Abstract | [Abstract]Pressure on water resources in Australia necessitates improved application of water to irrigated crops. Cotton is one of Australia’s major crops, but is also a large water user. On-farm water savings can be achieved by irrigating via large mobile irrigation This research has developed a non-destructive cotton plant dimensional measurement system, capable of mounting on a LMIM and streaming live crop measurement data to The vision system consisted of a Sony camcorder deinterlaced image size 720 × 288 pixels) mounted behind a transparent panel that moved continuously through the crop A custom image processing algorithm was developed to automatically extract internode distance from the images collected by the camera, and comprised both single frame Within individual images, leaf edges were erroneously detected as candidate nodes (‘false positives’) and contributed up to 22% of the total number of detected candidate nodes. However, a grouping algorithm based on a Delaunay Triangulation mesh of the candidate node positions was used to remove the largely-random false positives and to create accurate candidate node trajectories. The internode distance measurement From 168 video sequences of fourteen plants, 95 internode lengths were automatically detected at an average rate of one internode length per 1.75 plants for across row measurement,and one internode length per 3.3 m for along row measurement. Comparison with manually-measured internode lengths yielded a correlation coefficient of 0.86 for the automatic measurements and an average standard error in measurement of 3.0 mm with almost zero measurement bias. The second and third internode distances were most commonly detected by the vision system. The most measurements were obtained with the camera facing north or It is concluded that field measurement of cotton plant internode length is possible using a moving, plant-contacting camera enclosure; that the presence of occlusions and other foliage edges can be overcome by analysing the sequence of images; and that real-time |
Keywords | irrigation; crop; cotton; measurement system; machine vision; Australia |
ANZSRC Field of Research 2020 | 401306. Surveying (incl. hydrographic surveying) |
https://research.usq.edu.au/item/9z551/automatic-non-destructive-dimensional-measurement-of-cotton-plants-in-real-time-by-machine-vision
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