Integrating radio frequency identification into the PiGUI system to recognise sampling bias and detect feeding behaviour

Article


Tscharke, M. and Banhazi, T. M.. 2013. "Integrating radio frequency identification into the PiGUI system to recognise sampling bias and detect feeding behaviour ." Australian Journal of Multi-Disciplinary Engineering. 10 (1), pp. 94-107. https://doi.org/10.7158/14488388.2013.11464868
Article Title

Integrating radio frequency identification into the PiGUI system to recognise sampling bias and detect feeding behaviour

ERA Journal ID3449
Article CategoryArticle
AuthorsTscharke, M. (Author) and Banhazi, T. M. (Author)
Journal TitleAustralian Journal of Multi-Disciplinary Engineering
Journal Citation10 (1), pp. 94-107
Number of Pages14
Year2013
PublisherTaylor & Francis
Place of PublicationAustralia
ISSN0812-3314
1441-6611
1448-8388
Digital Object Identifier (DOI)https://doi.org/10.7158/14488388.2013.11464868
Web Address (URL)https://www.tandfonline.com/doi/abs/10.7158/14488388.2013.11464868
Abstract

A machine vision system was developed to determine the live weight and growth rate of groups of pigs. During development, it was important to determine whether the sampling method had potential to cause bias and subsequent error in the daily weight estimates calculated by the system. Sampling bias can occur toward certain pigs because of their appearance or the frequency and duration in which they reside in the pen-region beneath the camera. To determine whether these forms of bias could occur, radio frequency identification (RFID) was integrated into the system to monitor the attendance of individual pigs in the pen-region observed by the camera. Test results indicated that both forms of bias had occurred as a result of the system’s filter settings and the installation position. As the system observed a single feeder space, the opportunity arose to analyse the data further and determine whether the feeding behaviour of individual animals could be recovered from their attendance at the feeder. Preliminary findings indicate that the attendance recorded by the RFID system at the feeder is related to weight gain and that attendance might be useful in detecting feeder demand and out of feed events. In addition, it is believed that the RFID-recorded interactions between pigs at the feeder may provide a novel way of automatically recording competitive behaviour between individual animals in a group. Continuously identifying individual pigs at the feeder helps to fine tune the vision systems parameters to overcome bias related issues concerning layout and sampling. Additional information can be gained by the RFID system which prompts further investigation.

Keywordsmachine vision, weight estimation, pigs, precision livestock farming, RFID, animal behaviour
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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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.