Determining the growth of pigs in commercial facilities using machine vision: on-farm and offline results

Tscharke, M. and Banhazi, T. M. (2013) Determining the growth of pigs in commercial facilities using machine vision: on-farm and offline results. Australian Journal of Multi-disciplinary Engineering , 10 (1). pp. 26-40. ISSN 1448-8388

Abstract

A vision system was developed to determine the live weight of pigs from their body measurements non-invasively. This article presents on-farm and offline results obtained from the piGUI system while estimating the weight of grower pigs. During the on-farm trial the system recorded the growth of four successive batches of grower pigs at a commercial piggery. The growth output from the system was used to demonstrate the system’s potential in detecting the effect of undesirable conditions in practice. As according to the system, extreme summer temperatures may
have been responsible for a decrease in the animal’s activity and growth. Offline results indicated
that the group average weights of the grower pigs could be estimated within 1.3 kg error and group weight deviations within 1.2 kg error. More than 65% of all the estimates of individual pigs were within 2 kg of their actual weight, while estimates greater than 5 kg error were restricted to less than 5% of all estimates.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 July 2013 -)
Date Deposited: 09 Aug 2019 04:30
Last Modified: 09 Aug 2019 05:50
Uncontrolled Keywords: machine vision, precision livestock farming, pigs; weight estimation, smart farming, temperature, activity
Fields of Research : 07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070203 Animal Management
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
Identification Number or DOI: 10.7158/14488388.2013.11464862
URI: http://eprints.usq.edu.au/id/eprint/36773

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