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Applications of process control techniques in poultry production

  • J.-M. Aerts (a1), C. M. Wathes (a2) and D. Berckmans (a1)


The application of modern process control techniques to poultry production is outlined. Compact dynamic data-based models are proposed to describe and control the metabolic responses of broiler chickens to variations in the micro-environment. The dynamic response of heat production to step changes in air temperature and light intensity could be modelled with a , on average, of 0.83 and 0.93 respectively. Using recursive parameter estimation techniques, the time-variant response of animal growth to food supply could be predicted on-line with a prediction error of a maximum of 5%, three to seven days ahead depending on the type of feeding schedule. We argue that the potential conflicts between the environmental, financial and biological pressures on sustainable poultry production can be resolved through the development of integrated management systems using process control techniques.



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Aerts, J.-M., Berckmans, D., Saevels, P., Decuypere, E., Buyse, J. 2000. Modelling the static and dynamic response of total heat production of broiler chickens to step changes in air temperature and light intensity. British Poultry Science, 41: 651659.
Berckmans, D., and Goedseels, V. 1986. Development of new control techniques for heating and ventilation of livestock buildings. Journal of Agricultural Engineering Research 33: 112.
Black, J.L., Campbell, R.G., Williams, I.H., James, K.J., and Davies, G.T. 1986. Simulation of energy and amino acid utilisation in the pig. Research and Development in Agriculture 3(3): 121145.
Bloemen, H., Aerts, J.-M., Berckmans, D., and Goedseels, V. 1997. Image analysis to measure activity index of animals. Equine Veterinary Journal, Suppl. 23: 1619.
Bridges, T.C., Gates, R.S., Chao, K.L., Turner, L.W., and Minagawa, H. 1995. Techniques for development of swine performance response surfaces. Transactions of the ASAE 38(5): 15051511.
Brody, S. 1945. Bioenergetics and growth. New York: Reinhold Publ. Co.
Bruce, J.M., and Clark, J.J. 1979. Models of heat production and critical temperature for growing pigs. Animal Production 28: 353369.
Buyse, J., Michels, H., Vloeberghs, J., Saevels, P., Aerts, J.-M., Ducro, B., Berckmans, D., Decuypere, E. 1998. Energy and protein metabolism between 3 and 6 weeks of age of male broiler chickens selected for growth rate or for improved food efficiency. British Poultry Science, 39: 264272.
Camacho, E.F., and Bordons, C. 1999. Model predictive control. Berlin: Springer-Verlag.
Cole, G.W. 1980. The application of control systems theory to the analysis of ventilated animal housing environments. Transactions of the ASAE 23(2): 431436.
Cumby, T.R. and Phillips, V.R. 2001. Environmenatl impacts of livestock production. This proceedings.
Curtis, S.E. 1983. Environmental management in animal agriculture. Ames: Iowa State University Press.
Gates, R.S., Overhults, D.G., and Turner, L.W. 1992. A survey of electronic environmental controllers. Transactions of the ASAE 35(3): 993998.
Fitzhugh, H.A. 1976. Analysis of growth curves and strategies for altering their shape. Journal of Animal Science 42(4): 10361051.
Geers, R., Berckmans, D., Goedseels, V., Wijnhoven, J., and Maes, F. 1984a. A case-study of fattening pigs in Belgian contract farming. Mortality, efficiency of food utilization and carcass value of growing pigs, in relation to environmental engineering and control. Animal Production 38: 105111.
Geers, R., Goedseels, V., Berckmans, D., and Huybrechts, W. 1984b. Mortality, feed efficiency and carcass value of growing pigs in relation to environmental engineering and control. Livestock Production Science 11: 235241.
Golten, J., and Verwer, A. 1991. Control system design and simulation. London: McGraw-Hill.
Goodwin, G.C., and Sin, K.S. 1984. Adaptive filtering, prediction and control. New York: Prentice-Hall.
Jones, B.W., and Ogawa, Y. 1992. Transient interaction between the human and the thermal environment. ASHRAE Transactions 98(2): 189195.
Korthals, R.L., Hahn, G.L., and Nienaber, J.A. 1994. Evaluation of neural networks as a tool for management of swine environments. Transactions of the ASAE 37(4): 12951299.
Lacey, B., Hamrita, T.K., and Mitchel, B. 2000. Feasability of using neural networks for real-time prediction of poultry deep body temperature responses to stressful changes in ambient temperature. Applied Engineering in Agriculture 16(3): 303308.
Leynen, M., Van den Berckt, T., Aerts, J.M., Castelein, B., Berckmans, D., and Ollevier, F. 1999. The use of Tubificidae in a biological early warning system. Environmental Pollution 105: 151154.
Ljung, L. 1987. System identification. Theory for the user. New Jersey: Prentice Hall.
Mitchell, B.W. 1993. Process control system for poultry house environment. Transactions of the ASAE 36(6): 18811886.
Mount, L.E. 1979. Adaption to thermal environment. Man and his productive animals. London: Edward Arnold.
Newberry\R.C., , Hunt, J.R., and Gardiner, E.E. 1988. Influence of light intensity on behavior and performance of broiler chickens. Poultry Science 67: 10201025.
Nicholson, A.J. 1954. An outline of the dynamics of animal populations. Australian Journal of Zoology 2: 965.
Nienaber, J.A., LeRoy Hahn, G., and Yen, J.T. 1987. Thermal Environment Effects on Growing-Finishing Swine. Part I: Growth, Feed Intake and Heat Production. Transactions of the ASAE 30(6): 17721775.
Oltjen, J.W., Bywater, A.C., Baldwin, R.L., and Garett, W.N. 1986. Development of a dynamic model of beef cattle growth and composition. Journal of Animal Science 62: 8697.
Oltjen, J.W., and Owens, F.N. 1987. Beef cattle feed intake and growth: empirical bayes derivation of the kalman filter applied to a nonlinear dynamic model . Journal of Animal Science 65: 13621370.
Oltjen, J.W. 1993. Integration of energy concepts by modeling techniques. Journal of Dairy Science 6: 18121816.
Parks, J. 1982. A theory of feeding and growth in animals. Berlin: Springer-Verlag.
Parmar, R.S., Diehl, K.C., Collins, E.R. Jr., and Hulet, M.R. 1992. Simulation of a turkey house environment. Agricultural Systems 4: 425445.
Reece, F.N., Lott, B.D., and Deaton, J.W. 1980. Ammonia in the atmosphere during brooding affects performance of broiler chickens. Poultry Science 59(3): 486488.
Reece, F.N., and Lott, B.D. 1982. Education and production: Optimizing poultry house design for broiler chickens. Poultry Science 61: 2532.
Reece, F.N., Lott, B.D., and Bates, B.J. 1985. The performance of a computerized system for control of broiler-house environment. Poultry Science 64: 261265.
Soeterboek, A.R.M. 1992. Predictive control. A unified approach. New York: Prentice Hall.
Turnpenny, J.A., McArthur, A.J., Clark, J.A. and Wathes, C.M. 2000 Thermal balance of livestock. 1. A parsimonious model. Agricultural and Forest Meteorology 101: 1527.
Van't Klooster, C.E., Bontsema, J., and Salomons, L. 1995. Dynamic model to tune a climatic control algorithm in pig houses with natural ventilation. Transactions of the ASAE 38(3): 911918.
Vranken, E. 1999. Analysis and optimisation of ventilation control in livestock buildings. PhD thesis, Katholieke Universiteit Leuven.
Xin, H., DeShazer, J.A., Feddes, J.J.R., and Rajurkar, K.P. 1992. Data dependent systems analysis of stochastic swine energetic responses. Journal of Thermal Biology 17(4/5): 225234.
Wathes, C.M., Abeyesinghe, S.M. and Frost, A.R. 2001 Environmental design and management for livestock in the 21st Century: resolving conflicts by integrated solutions. In Proceedings of the Sixth International Livestock Environment Symposium, Louisville, Kentucky, USA. May 21-23, 2001 pp514.
Young, P.C. 1984. Recursive estimation and time-series analysis. Berlin: Springer-Verlag.
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BSAP Occasional Publication
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