Using machine vision classification to control access of animals to water

Finch, N. A. and Murray, P. J. and Dunn, M. T. and Billingsley, J. (2006) Using machine vision classification to control access of animals to water. Animal Production Science, 46 (6-7). pp. 837-839. ISSN 0816-1089

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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Depositing User: Bulkimport bulkimport
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
Date Deposited: 30 Nov 2007 11:47
Last Modified: 03 Jul 2013 00:22
Uncontrolled Keywords: classification; livestock management; machine vision; vertebrate pests
Fields of Research (FOR2008): ?? 702 ??
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080104 Computer Vision
07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070205 Animal Protection (Pests and Pathogens)
07 Agricultural and Veterinary Sciences > 0701 Agriculture, Land and Farm Management > 070105 Agricultural Systems Analysis and Modelling
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering
Identification Number or DOI: doi: 10.1071/EA05325
URI: http://eprints.usq.edu.au/id/eprint/15416

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