Improved image analysis based system to reliably predict the live weight of pigs on farm: preliminary results
Article
Article Title | Improved image analysis based system to reliably predict the live weight of pigs on farm: preliminary results |
---|---|
ERA Journal ID | 3449 |
Article Category | Article |
Authors | Banhazi, T. M. (Author), Tscharke, M. (Author), Ferdous, W. M. (Author), Saunders, C. (Author) and Lee, S. -H. (Author) |
Journal Title | Australian Journal of Multi-Disciplinary Engineering |
Journal Citation | 8 (2), pp. 107-119 |
Number of Pages | 13 |
Year | 2011 |
Publisher | Taylor & Francis |
Place of Publication | Sydney, Australia |
ISSN | 0812-3314 |
1441-6611 | |
1448-8388 | |
Abstract | A computer vision system was developed to automatically measure the live weight of pigs without human intervention. The system was trialled on both research and commercial farms to demonstrate the ability of the system to cope with different conditions and non-uniform lighting conditions. Early results demonstrate that the system can achieve sufficient practical accuracy. The results of the initial trials demonstrated that weight of the pigs can be predicted with an average error of 1.18 kg. Precision, reliability and repeatability are likely to be increased in future through improved weight prediction models, increased image resolution and algorithm enhancement. |
Keywords | image analysis; body composition; swine; pigs; weight; farm produce |
ANZSRC Field of Research 2020 | 460304. Computer vision |
300302. Animal management | |
460306. Image processing | |
Public Notes | © The Institution of Engineers Australia, 2011. Reviewed and revised version of a paper originally presented at the 2009 Society for Engineering in Agriculture (SEAg) National |
Byline Affiliations | National Centre for Engineering in Agriculture |
University of South Australia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q12z7/improved-image-analysis-based-system-to-reliably-predict-the-live-weight-of-pigs-on-farm-preliminary-results
1895
total views10
total downloads0
views this month0
downloads this month