Using machine vision classification to control access of animals to water
Article
Article Title | Using machine vision classification to control access of animals to water |
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ERA Journal ID | 5178 |
Article Category | Article |
Authors | Finch, N. A. (Author), Murray, P. J. (Author), Dunn, M. T. (Author) and Billingsley, J. (Author) |
Journal Title | Animal Production Science |
Journal Citation | 46 (6-7), pp. 837-839 |
Number of Pages | 3 |
Year | 2006 |
Publisher | CSIRO Publishing |
Place of Publication | Melbourne, Australia |
ISSN | 0816-1089 |
1836-0939 | |
1836-5787 | |
Digital Object Identifier (DOI) | https://doi.org/10.1071/EA05325 |
Abstract | Invasive vertebrate pests together with overabundant native species 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 species. This paper describes an intelligent system of controlling watering points based on machine vision technology. Initial test results clearly demonstrate proof of concept for machine vision in this application. These initial experiments were carried out as part of a 3-year project using machine vision software to manage all large vertebrates in the Australian rangelands. Concurrent work is testing the use of automated gates and innovative laneway and enclosure design. The system will have application in any habitat throughout the world where a resource is limited and can be enclosed for the management of livestock or wildlife. |
Keywords | classification; livestock management; machine vision; vertebrate pests |
ANZSRC Field of Research 2020 | 300399. Animal production not elsewhere classified |
460304. Computer vision | |
300304. Animal protection (incl. pests and pathogens) | |
300207. Agricultural systems analysis and modelling | |
Public Notes | © CSIRO 2006. 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 | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0692/using-machine-vision-classification-to-control-access-of-animals-to-water
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