Control of watering point access using machine vision classification of animals
Article
Article Title | Control of watering point access using machine vision classification of animals |
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Article Category | Article |
Authors | Finch, Neal A. (Author), Murray, Peter J. (Author), Dunn, Mark T. (Author) and Billingsley, John (Author) |
Journal Title | Transactions of the Western Section of the Wildlife Society |
Journal Citation | 42, pp. 16-19 |
Number of Pages | 4 |
Year | 2006 |
Place of Publication | Bethesda, MD. United States |
Web Address (URL) | http://www.tws-west.org/transactions/Finch%20invasive%20species.pdf |
Abstract | Invasive and overabundant native vertebrates cause significant economic and environmental damage in the Australian rangelands. Access to artificial watering points, created for the pastoral industry, has been a major factor in the spread and survival of these pests. Existing methods of controlling watering points are mechanical and cannot discriminate between target and nontarget species. |
Keywords | Australia; invasive species; machine vision technology; videos; watering sources |
ANZSRC Field of Research 2020 | 460304. Computer vision |
300207. Agricultural systems analysis and modelling | |
410407. Wildlife and habitat management | |
Public Notes | This publication is copyright. It may be reproduced in whole or in part for the purposes of study, research, or review, but is subject to the inclusion of an acknowledgment of the source. |
Byline Affiliations | University of Queensland |
National Centre for Engineering in Agriculture | |
School of Mechanical and Electrical Engineering | |
Event | Invasive Species Symposium |
Institution of Origin | University of Southern Queensland |
ISBN | 0893-214X |
Event Details | Invasive Species Symposium Event Date 14 to end of 16 Oct 2003 Event Location USA |
https://research.usq.edu.au/item/q04x1/control-of-watering-point-access-using-machine-vision-classification-of-animals
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