Review of methods to determine weight, size and composition of livestock from images

Paper

Tscharke, M. and Banhazi, T. M.. 2011. "Review of methods to determine weight, size and composition of livestock from images." Banhazi, T., Saunders, C. and Hegarty, R. (ed.) SEAg 2011: Diverse Challenges, Innovative Solutions. Gold Coast, Australia 29 - 30 Sep 2011 Canberra, Australia .
Paper/Presentation Title

Review of methods to determine weight, size and composition of livestock from images

Presentation TypePaper
AuthorsTscharke, M. (Author) and Banhazi, T. M. (Author)
EditorsBanhazi, T., Saunders, C. and Hegarty, R.
Journal or Proceedings TitleProceedings of the Biennial Conference of the Australian Society for Engineering in Agriculture (SEAg 2011)
Number of Pages19
Year2011
Place of PublicationCanberra, Australia
ISBN9780858259829
Web Address (URL) of Paperhttp://www.seagconference.com.au/
Conference/EventSEAg 2011: Diverse Challenges, Innovative Solutions
Event Details
SEAg 2011: Diverse Challenges, Innovative Solutions
Event Date
29 to end of 30 Sep 2011
Event Location
Gold Coast, Australia
Abstract

The currently available technologies which can determine the weight of livestock are reviewed and limitations of the weighing task by these means are defined. Comparisons between the different techniques highlight the superiority of the non-contact vision based method. Modelling techniques for weight estimation size and composition are reviewed along with image segmentation and recognition methods. Conclusions identify that more work is required on further minimising the error of group average daily weight estimates, individual animal weight estimates, group weight deviation and enhancing the design of the weighing apparatus to function in a commercially realistic environments. Future direction also centres on enhancing automation, minimising invasive environmental control, maximising precision and repeatability during dimension recovery and identifying and controlling the effect of any bias in weight estimation.

Keywordsmachine vision; allometry; computer vision; weight; image analysis; animals; livestock
ANZSRC Field of Research 2020460304. Computer vision
300207. Agricultural systems analysis and modelling
409901. Agricultural engineering
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Byline AffiliationsNational Centre for Engineering in Agriculture
Institution of OriginUniversity of Southern Queensland
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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.
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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.