Digital image processing methods for the identification of pigs posture during weight estimation

Paper

Ferdous, W. M., Tscharke, M., Saunders, C., Lee, S.-H. and Banhazi, T. M.. 2011. "Digital image processing methods for the identification of pigs posture during weight estimation." Lokhorst, Kees and Berckmans, Daniel (ed.) 5th European Conference on Precision Livestock Farming (ECPLF 2011). Prague 11 - 14 Jul 2011 Prague .
Paper/Presentation Title

Digital image processing methods for the identification of pigs posture during weight estimation

Presentation TypePaper
AuthorsFerdous, W. M. (Author), Tscharke, M. (Author), Saunders, C. (Author), Lee, S.-H. (Author) and Banhazi, T. M. (Author)
EditorsLokhorst, Kees and Berckmans, Daniel
Journal or Proceedings TitleProceedings of the 5th European Conference on Precision Livestock Farming (ECPLF 2011)
Journal Citation1, pp. 422-432
Number of Pages11
Year2011
Place of PublicationPrague
ISBN9788090483040
Web Address (URL) of Paperhttp://www.ecplf2011.cz/?idScript=27
Conference/Event5th European Conference on Precision Livestock Farming (ECPLF 2011)
Event Details
5th European Conference on Precision Livestock Farming (ECPLF 2011)
Event Date
11 to end of 14 Jul 2011
Event Location
Prague
Abstract

Variations in the postures of pigs can contribute to significant amounts of error during
automatic weight estimation of pigs using image analysis techniques. This is especially the case
when the head of a pig is not maintained on the same straight line as the body of the animal. It
was estimated that an additional 2.4% error is associated with sub-optimal posture of animals
during weight estimation. To minimize weight estimation error as much as possible, the aim
of this study was to identify the most suitable image analysis technique that can automatically
select frames from video streams with optimum animal posture for accurate weight
estimation. Four different techniques, namely reference line, length ratio, angular width and
mid-line methods were investigated using images of pigs between 45 and 90 kg. All images
were taken from above the animals at a height of 1680 mm. In this study, images of animals
turning their heads more than 30 degrees from the body line either left or right were classified
as suboptimal. Similarly, images were also classified as suboptimal if the angular placement of
the pigs in the images were more than 30 degrees from the midline. Among the different
methods, both the length ratio and angular width method were found to be most likely to
identify images with suboptimal head position, while the midline method was the best at
identifying pigs with a suboptimal body position. Thus overall the length ratio method appears
to be the best to identify suboptimal images before further processing.

KeywordsImage analysis, posture, head turning, livestock, pig
ANZSRC Field of Research 2020409901. Agricultural engineering
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Byline AffiliationsUniversity of South Australia
National Centre for Engineering in Agriculture
Institution of OriginUniversity of Southern Queensland
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Panagakis, P., Blanes-Vidal, V., Banhazi, T., Barbosa, J. C., Maltz, E., da Cruz, V. F. and Berckmans, D.. 2009. "Glossary of terms on animal housing: interconnecting engineering, physical and physiological definitions." Agricultural Engineering International. 11, pp. 1-34.
Development of a smart livestock farming tool for identifying animal growth using artificial intelligence
Tscharke, Matthew J.. 2012. Development of a smart livestock farming tool for identifying animal growth using artificial intelligence. PhD Thesis Doctor of Philosophy. University of Southern Queensland.
Precision livestock farming and nutrition
Banhazi, Thomas and Babinszky, Laszlo. 2010. "Precision livestock farming and nutrition." Kralik, Gordana (ed.) 17th International Conference on Animal Nutrition (KRMIVA 2010): Innovation in Non-Ruminant Nutrition. Opatija, Croatia 07 - 09 Jun 2010 Zagreb, Croatia.
Controlling the concentrations of airborne particles in broiler buildings
Banhazi, T. M., Currie, E. P. K., Quartararo, M. and Aarnink, A. J. A.. 2009. "Controlling the concentrations of airborne particles in broiler buildings ." Aland, A. and Madec, F. (ed.) Sustainable animal production: the challenges and potential developments for professional farming. Wageningen, Netherlands. Wageningen Academic Publishers. pp. 347-364
Field evaluation of a prototype sensor for measuring feed disappearance in livestock buildings
Banhazi, T. M., Rutley, D., Parkin, B. J. and Lewis, B.. 2009. "Field evaluation of a prototype sensor for measuring feed disappearance in livestock buildings." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 27-38.
Precision livestock farming: a suite of electronic systems to ensure the application of best practice management on livestock farms
Banhazi, Thomas and Black, John L.. 2009. "Precision livestock farming: a suite of electronic systems to ensure the application of best practice management on livestock farms." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 1-13.
Identification of the risk factors for high airborne particle concentrations in broiler buildings using statistical modelling
Banhazi, T. M., Seedorf, J., Laffrique, M. and Rutley, D. L.. 2008. "Identification of the risk factors for high airborne particle concentrations in broiler buildings using statistical modelling ." Biosystems Engineering. 101 (1), pp. 100-110. https://doi.org/10.1016/j.biosystemseng.2008.06.007
Potential of using infrared thermography for determination of skin wetness and thus perceived thermal comfort of pigs
Banhazi, T., Kitchen, J. and Tivey, D.. 2009. "Potential of using infrared thermography for determination of skin wetness and thus perceived thermal comfort of pigs." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 47-54.
User-friendly air quality monitoring system
Banhazi, Thomas. 2009. "User-friendly air quality monitoring system ." Applied Engineering in Agriculture. 25 (2), pp. 281-290.
Development and testing of an evaluation procedure for commercial manure additive products
Banhazi, T., Hudson, N., Dunlop, M., Dyson, C. and Thomas, R.. 2009. "Development and testing of an evaluation procedure for commercial manure additive products ." Biosystems Engineering. 103 (3), pp. 321-328. https://doi.org/10.1016/j.biosystemseng.2009.04.011
Review of the consequences and control of high air temperatures in intensive livestock buildings
Banhazi, T., Aarnink, A., Thuy, H., Pedersen, S., Hartung, J., Payne, H., Mullan, B. and Berckmans, D.. 2009. "Review of the consequences and control of high air temperatures in intensive livestock buildings ." Australian Journal of Multi-Disciplinary Engineering. 7 (1), pp. 63-78.
Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 4. Emission factors and study recommendations
Banhazi, T. M., Rutley, D. L. and Pitchford, W. S.. 2008. "Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 4. Emission factors and study recommendations." Journal of Agricultural Safety and Health. 14 (1), pp. 53-69.
Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 2. Airborne pollutants
Banhazi, T. M., Seedorf, J., Rutley, D. L. and Pitchford, W. S.. 2008. "Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 2. Airborne pollutants ." Journal of Agricultural Safety and Health. 14 (1), pp. 21-39.
Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 1. Study justification and design
Banhazi, T. M., Seedorf, J., Rutley, D. L. and Pitchford, W. S.. 2008. "Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 1. Study justification and design." Journal of Agricultural Safety and Health. 14 (1), pp. 5-20.
Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 3. Environmental parameters
Banhazi, T. M., Seedorf, J., Rutley, D. L. and Pitchford, W. S.. 2008. "Identification of risk factors for sub-optimal housing conditions in Australian piggeries: part 3. Environmental parameters." Journal of Agricultural Safety and Health. 14 (1), pp. 41-52.
Weight estimation using image analysis and statistical modelling: a preliminary study
Kollis, K., Phang, C. S., Banhazi, Thomas and Searle, Stephen J.. 2007. "Weight estimation using image analysis and statistical modelling: a preliminary study ." Applied Engineering in Agriculture. 23 (1), pp. 91-96.
Validation and fine-tuning of a predictive model for air quality in livestock buildings
Banhazi, T. M., Rutley, D. L. and Pitchford, W. S.. 2010. "Validation and fine-tuning of a predictive model for air quality in livestock buildings." Biosystems Engineering. 105 (3), pp. 395-401. https://doi.org/10.1016/j.biosystemseng.2009.12.011
Air pollution and livestock production
Watt, A. C., Aziz, S. M. and Banhazi, T. M.. 2010. "Air pollution and livestock production." 17th World Congress of the International Commission of Agricultural and Biosystems Engineering (CIGR 2010): Sustainable Biosystems Through Engineering. Quebec City, Canada 13 - 17 Jun 2010 Quebec City, Canada.