Validation and fine-tuning of a predictive model for air quality in livestock buildings

Article

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
Article Title

Validation and fine-tuning of a predictive model for air quality in livestock buildings

ERA Journal ID3455
Article CategoryArticle
AuthorsBanhazi, T. M. (Author), Rutley, D. L. (Author) and Pitchford, W. S. (Author)
Journal TitleBiosystems Engineering
Journal Citation105 (3), pp. 395-401
Number of Pages7
Year2010
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN1537-5110
1537-5129
Digital Object Identifier (DOI)https://doi.org/10.1016/j.biosystemseng.2009.12.011
Web Address (URL)http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6WXV-4YB27WY-1&_user=1472215&_coverDate=03%2F31%2F2010&_rdoc=15&_fmt=high&_orig=browse&_origin=browse&_zone=rslt_list_item&_srch=doc-info(%23toc%237168%232010%23998949996%231734093%23FLA%23display%
Abstract

Between 1997 and 1999 a comprehensive survey of airborne pollutant concentrations within, and emissions from, 160 Australian piggery buildings was undertaken. The primary
aim of the study was to model the concentrations and emissions of different airborne pollutants and thus identify potential reduction techniques. The main factors identified as significantly influencing airborne pollutant concentrations were building type, pen hygiene, pig flow management, seasons, building volume, ventilation airflow rate, air temperature, relative humidity, and farm size (as expressed by number of sows on site).
These effects were included in comprehensive statistical models to explain the variation in measured concentrations and emission rates. The models developed were validated and
fine-tuned using the ‘‘leave-one-out’’ cross-validation technique. This article details the validation technique used that was aimed to maximise the value of available experimental data and further improves the practicality of the models developed. The main result of the study was the development of an improved model. The study results, and the resulting prediction models, should help improve air quality in piggery buildings by providing decision makers with an awareness of the environmental conditions inside and outside of piggery buildings. In turn, that should lead to improvements in the health and welfare of pigs and piggery staff and the sustainability of the piggery operations.

Keywordspredictive model; air quality ; piggery ; livestock building
ANZSRC Field of Research 2020300304. Animal protection (incl. pests and pathogens)
300302. Animal management
410499. Environmental management not elsewhere classified
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Byline AffiliationsUniversity of Adelaide
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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.
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.