Weight estimation using image analysis and statistical modelling: a preliminary study
Article
Article Title | Weight estimation using image analysis and statistical modelling: a preliminary study |
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ERA Journal ID | 3444 |
Article Category | Article |
Authors | Kollis, K. (Author), Phang, C. S. (Author), Banhazi, Thomas (Author) and Searle, Stephen J. (Author) |
Journal Title | Applied Engineering in Agriculture |
Journal Citation | 23 (1), pp. 91-96 |
Number of Pages | 6 |
Year | 2007 |
Place of Publication | Michigan, USA |
ISSN | 0883-8542 |
1943-7838 | |
Abstract | The weighing of pigs on a farm is traditionally performed manually, making the process time-consuming and laborious. An automated weighing system could thus greatly improve the efficiency of the weighing process. Former studies have demonstrated that an animal's weight may be estimated via analysis of an image of that animal. A recent study conducted at the University of Adelaide aimed to implement an automatic weight estimation system for pigs, and use this system to confirm the results of previous studies while investigating new features, such as additional statistical modelling. A system was designed and implemented using off-the-shelf hardware. It was found that the system was able to estimate a pig's weight with an acceptable error. |
Keywords | image processing; pigs; precision livestock farming; weight estimation |
ANZSRC Field of Research 2020 | 300301. Animal growth and development |
409901. Agricultural engineering | |
460306. Image processing | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | University of Adelaide |
National Centre for Engineering in Agriculture | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q0q51/weight-estimation-using-image-analysis-and-statistical-modelling-a-preliminary-study
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