Applied machine vision in agriculture at the NCEA
Paper
Paper/Presentation Title | Applied machine vision in agriculture at the NCEA |
---|---|
Presentation Type | Paper |
Authors | McCarthy, Cheryl (Author) and Billingsley, John (Author) |
Editors | Banhazi, T. M. and Saunders, C. |
Journal or Proceedings Title | Proceedings of the 2009 CIGR International Symposium of the Australian Society for Engineering in Agriculture (SEAg 2009) |
Number of Pages | 7 |
Year | 2009 |
Place of Publication | Brisbane, Australia |
ISBN | 9780858259096 |
Web Address (URL) of Paper | http://search.informit.com.au/fullText;dn=640621166442195;res=IELENG |
Conference/Event | SEAg 2009: Agricultural Technologies In a Changing Climate |
Event Details | SEAg 2009: Agricultural Technologies In a Changing Climate Event Date 13 to end of 16 Sep 2009 Event Location Brisbane, Australia |
Abstract | Machine vision involves the use of cameras and other imaging technologies to automatically extract information from a two-dimensional representation of a real-world scene. The technology has the potential to reduce resource usage and increase productivity in agricultural applications by performing repetitive and labour-intensive tasks that are conventionally carried out manually by humans. An overview of the NCEA’s machine vision research activities and their implications will be presented. |
Keywords | automation; image processing; yield monitor; quality assessment; macadamia; fodder; body condition scoring |
ANZSRC Field of Research 2020 | 300206. Agricultural spatial analysis and modelling |
469999. Other information and computing sciences not elsewhere classified | |
409901. Agricultural engineering | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National Centre for Engineering in Agriculture |
https://research.usq.edu.au/item/9zx5v/applied-machine-vision-in-agriculture-at-the-ncea
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