Tscharke, M. and Banhazi, T. M. (2013) Weight estimation of sows during pregnancy using machine vision. Australian Journal of Multi-Disciplinary Engineering, 10 (1). pp. 51-59. ISSN 1448-8388
Abstract
The body condition of sows, before and during pregnancy, has been shown to affect the quality and survivability of their offspring. Therefore, it is desirable to monitor and manage the body condition of sows to ensure that their nutritional and environmental requirements are met. A sow’s condition can be determined from its body shape, back-fat measurement and weight relative to its age and parity. However, often these factors are not monitored frequently due to the high level of labour required. As weight is a strong indicator of condition, a machine vision system was developed to continuously estimate, without operator involvement, the weights of pigs from their size. This article presents the weight estimation results achieved by the system for sows between days 71 and 82 of pregnancy, and a brief insight into the morphological changes in two sows’ body dimensions determined by the system which occurred in the days before and after giving birth. The system determined the average weight of the group of pregnant sows to within 1.5% mean-relative error of the actual group average weight. Using the system’s combined dimension and shape filtering method, 82% of the individual weight assessments of these sows were found to be within 5 kg of their actual weight. The system identified clear changes in body dimensions for two sows before and after giving birth. The effect that pregnancy has on the shape and body dimensions of sows should be investigated further as it is likely to be a contributing factor to poorer weight estimates. However changes in body dimensions may also be used to model and classify condition or the onset of pregnancy.
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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: | Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Agricultural, Civil and Environmental Engineering (Up to 30 Jun 2013) |
| Date Deposited: | 09 Aug 2019 05:02 |
| Last Modified: | 21 Dec 2021 02:06 |
| Uncontrolled Keywords: | machine vision, weight estimation, sows, pigs, precision livestock farming |
| Fields of Research (2008): | 07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070203 Animal Management |
| Fields of Research (2020): | 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3003 Animal production > 300302 Animal management |
| Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences |
| Identification Number or DOI: | https://doi.org/10.7158/14488388.2013.11464864 |
| URI: | http://eprints.usq.edu.au/id/eprint/36774 |
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