Neural network modelling and sensitivity analysis of a mechanical poultry catching system

Biosystems Engineering

Volumn 92, Issue 1, 2005, Pages 59-68

  Jaiswal, S ^a   Benson, E R ^a   Bernard, J C ^b   Van Wicklen, G L ^c  

^a UNIVERSITY OF DELAWARE   (United States)

^b Food and Resources Economics Department   (United States)

^c Bioresources Engineering Department   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MECHANICAL CATCHING; MECHANICAL POULTRY;

FARMS; MATHEMATICAL MODELS; SENSITIVITY ANALYSIS;

NEURAL NETWORKS;

MATHEMATICAL MODELS; NEURAL NETWORKS; POULTRY; SENSITIVITY;

EID: 23844494045     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2005.05.007     Document Type: Article

References (31)

1. P.S. Berry, P.J. Kettlewell, and P. Moran The AFRC Mark I experimental broiler Journal of Agricultural Engineering Research 47 1990 153 163
2. Duncan I J H (1989). The assessment of welfare during the handling and transport of broilers. Proceedings of the 3rd European Symposium on Poultry Welfare. Tours, France, pp 93-107
3. I.J.H. Duncan, G.S. Slee, P.J. Kettlewell, P.S. Berry, and A.J. Carlisle Comparison of the stressfulness of catching broiler chickens by machine and by hand British Poultry Science 27 1986 109 114
4. C. Ekstrand An observational study of the effects of catching method on carcase rejection rates in broilers Animal Welfare 7 1 1998 87 96
5. D.J. Fonseca, and D.O. Navaresse Artificial neural networks for job shop simulation Advanced Engineering Informatics 16 4 2002 241 246 10.1016/S1474-0346(03)00005-3
6. D.J. Fonseca, D.O. Navaresse, and G.P. Moynihan Simulation metamodeling through artificial neural networks Engineering Applications of Artificial Intelligence 16 3 2003 177 183 10.1016/S0952-1976(03)00043-5
7. S.S. Haykin Neural networks: A Comprehensive Foundation 1999 Prentice-Hall Upper Saddle River, NJ, USA
8. S.H. Huang, and H.C. Zhang Artificial neural network in manufacturing: concepts, application and perspectives IEEE Transactions on Components, Packing, and Manufacturing Technology-Part A 17 2 1994 212 228
9. K.R. Janes, S.X. Yang, and R.R. Hacker Single-component modeling of pig farm odour with statistical methods and neural networks Biosystems Engineering 88 3 2004 271 279 10.1016/j.biosystemseng.2004.04.004
10. Jewett L J; Saunders R F (1960). Handling and processing broilers in Maine - part 2. Maine Agricultural Experiment Station Bulletin 593. Univ. Maine, Orono, ME
11. P.J. Jongh, and T. Wet An introduction to neural networks South African Statistical Journal 27 1993 103 128
12. P.A. Jula, A. Houshyar, F.L. Severence, and A. Sawhney Application of artificial neural networks in interactive simulation Computers & Industrial Engineering 31 1-2 1996 417 420
13. G. Kannan, J.L. Heath, C.J. Wabeck, M.C.P. Souza, J.C. Howe, and J.A. Mench Effect of crating and transport on stress and meat quality characteristics of broilers Poultry Science 76 1996 523 529
14. P.J. Kettlewell, and M.J.B. Turner A review of broiler chicken catching and transport systems Journal of Agricultural Engineering Research 31 1985 93 114
15. Kilman S (2003). Poultry in motion: chicken catching goes high-tech. Wall Street Journal, 06/04/03, A1, A10
16. U. Knierim, and A. Gocke Effect of catching broilers by hand or machine on rates of injuries and dead-on-arrivals Animal Welfare 12 2003 63 73
17. M.P. Lacy, and M. Czarick Evolution of a mechanized broiler catching systems Poultry Science 71 Suppl.1 1992 100 (Abstr.)
18. M.P. Lacy, and M. Czarick Field-testing of a mechanized broiler catching system Poultry Science 73 Suppl. 1 1994 41 (Abstr.)
19. M.P. Lacy, and M. Czarick Mechanical catching of broilers Poultry Science 77 1998 1794 1797
20. K.N. May, and M.K. Hamdy Bruising of poultry - a review World Poultry Science Journal 22 4 1966 316 322
21. G.S. Mittal, and J. Zhang Artificial neural network-based psychometric predictor Biosystems Engineering 85 3 2003 283 289 10.1016/S1537-5110(03)00071-0
22. P.D. Morris, S.W. Lenhart, and W.S. Service Respiratory symptoms and pulmonary function in chicken catchers in poultry confinement units American Journal of Industrial Medicine 19 1991 195 204
23. D. Morquin, M.B. Ghalia, and S. Bose An integrated neural network-based vision system for automated separation of clods from agricultural produce Engineering Applications of Artificial Intelligence 16 2003 45 55
24. S. Ramasamy, E.R. Benson, and G.L. Van Wicklen Efficiency of a commercial mechanical chicken catching system Journal of Applied Poultry Research 13 1 2004 19 28
25. C.T.P. Salle, A.S. Guahyba, V.B. Wald, A.B. Silva, F.O. Salle, and V.P. Nascemento Use of artificial neural networks to estimate production parameters of broilers breeders in the production phase British Poultry Science 44 2 2003 211 217 10.1080/0007166031000088361
26. B. Savenije, E. Lambooik, M.A. Gerritzen, K. Venema, and J. Korf Effect of feed deprivation and transport on pre-slaughter blood metabolites, early post mortem muscle metabolites and meat quality Poultry Science 81 2001 699 708
27. G.B. Scott Poultry handling: a review of mechanical devices and their effect on bird welfare World's Poultry Science Journal 49 1993 44 57
28. S.M. Shane The US poultry industry is ready for mechanical harvesting Poultry 9 2 2001 36 38
29. C.J. Wabeck Automated live haul - it is making progress Broiler Industry 36 2 1973 22 26
30. Q. Zhang, S.X. Yang, G.S. Mittal, and S. Yi Prediction performance indices and optimal parameters of rough rice drying using neural networks Biosystems Engineering 83 3 2002 281 290 10.1016/S1537-S110(02)00190-3
31. Zhou K (1996). Aerosol particle deposition in humans working ion poultry processing plants. Unpublished MS. Thesis, Department of Biological and Agricultural Engineering, University of Georgia, Athens, GA, USA