Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement
Article
Article Title | Apparatus and infield evaluations of a prototype machine vision system for cotton plant internode length measurement |
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ERA Journal ID | 5350 |
Article Category | Article |
Authors | McCarthy, Cheryl (Author), Hancock, Nigel (Author) and Raine, Steven R. (Author) |
Journal Title | Journal of Cotton Science |
Journal Citation | 14 (4), pp. 221-232 |
Number of Pages | 12 |
Year | 2010 |
Place of Publication | United States |
ISSN | 1523-6919 |
1524-3303 | |
Web Address (URL) | http://www.cotton.org/journal/2010-14/4/upload/JCS14-221.pdf |
Abstract | An on-the-go infield machine vision system was developed to measure internode length (i.e. the distance between main stem nodes) of cotton (Gossypium hirsutum L.) plants which is a significant indicator of past water stress. An infield vehicle was developed to automatically convey the machine vision system across the crop canopy. This paper presents an evaluation of the devised system under a range of operational and field conditions. On average, the vision system's internode length detection rate ranged from 12 measurements per 100 plants for compact plants when the sun was directly overhead with respect to the camera, to 64 measurements per 100 plants for vigorous plants when the sunlight was perpendicular to the camera view angle. Imaging at night time using 850 nm near infrared illumination resulted in internode length detection rates not significantly different from the most reliable daylight conditions. Both across-row and along-row operations of the system were evaluated, with the system yielding internode length measurements for groundspeeds up to 0.20 m/s for along-row operation. Visual occlusion of the main stem nodes by foliage and variations in natural lighting conditions were observed to be the principal reasons for internode lengths not being successfully detected for every plant. However, from the success rates observed it is concluded that the system has the practical capability to extensively map internode length across a field and hence, identify spatial trends in internode length from which spatial trends in plant water stress may be inferred |
Keywords | automation; image analysis; sensing |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460304. Computer vision |
300403. Agronomy | |
460306. Image processing | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | National Centre for Engineering in Agriculture |
https://research.usq.edu.au/item/q0172/apparatus-and-infield-evaluations-of-a-prototype-machine-vision-system-for-cotton-plant-internode-length-measurement
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