Weight estimation of sows during pregnancy using machine vision

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.


Statistics for USQ ePrint 36774
Statistics for this ePrint Item
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 05:02
Last Modified: 12 Aug 2019 05:00
Uncontrolled Keywords: machine vision, weight estimation, sows, pigs, precision livestock farming
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: 10.7158/14488388.2013.11464864
URI: http://eprints.usq.edu.au/id/eprint/36774

Actions (login required)

View Item Archive Repository Staff Only