Growth recorded automatically and continuously by a machine vision system for finisher pigs

Article

Tscharke, M. and Banhazi, T. M.. 2013. "Growth recorded automatically and continuously by a machine vision system for finisher pigs." Australian Journal of Multi-Disciplinary Engineering. 10 (1), pp. 70-80. https://doi.org/10.7158/14488388.2013.11464866
Article Title

Growth recorded automatically and continuously by a machine vision system for finisher pigs

ERA Journal ID3449
Article CategoryArticle
AuthorsTscharke, M. (Author) and Banhazi, T. M. (Author)
Journal TitleAustralian Journal of Multi-Disciplinary Engineering
Journal Citation10 (1), pp. 70-80
Number of Pages11
Year2013
PublisherTaylor & Francis
Place of PublicationAustralia
ISSN0812-3314
1441-6611
1448-8388
Digital Object Identifier (DOI)https://doi.org/10.7158/14488388.2013.11464866
Web Address (URL)https://www.tandfonline.com/doi/abs/10.7158/14488388.2013.11464866
Abstract

Conventional livestock weighing methods require direct contact with the animals. This contact creates a physically demanding and hazardous situation for those undertaking the weighing activities. Alternatively, the weight of livestock can be estimated from their body measurements using non-invasive methods. This article presents recent improvements in the ongoing development of a completely automatic, two-dimensional machine vision system labelled the piGUI system, designed to obtain body measurements of pigs to estimate their live weight. Results comparing pig weights obtained by a weigh-scale and the vision-based method are reported for pigs in their finisher stage of growth. During offline testing of a video dataset, the piGUI system demonstrated that it was capable of estimating the average group weight within a 2.5% error relative to the actual group average weight. In addition, the weight deviation of the groups was estimated within a ±1 kg error of the actual group weight deviation. During on-farm testing the average group weight was accurate to 2.5% relative error and the estimated weight deviation was within a ±2 kg error of the actual weight deviation. Continuous recording of livestock growth is important as growth data can be used to measure animals’ responses to various factors such as the surrounding climate, housing environment and nutrition. Assessing the animals’ responses to these conditions is essential in improving the efficiency and welfare of livestock in both research and commercial settings.

Keywordsprecision livestock farming, machine vision, pigs, weight estimation, growth
ANZSRC Field of Research 2020300302. Animal management
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Byline AffiliationsNational Centre for Engineering in Agriculture
Institution of OriginUniversity of Southern Queensland
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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.