Static/Dynamic Zoometry Concept to Design Cattle Facilities Using Back Propagation Neural Network (BPNN)

The dairy cattle productivity is largely dependent on the facility quality and environmental condition. Various researchers had conducted a study in this field, but it is not developing the knowledge of animal dimensions and behaviors correlated with their facility design. Complexities of dynamics zoometry depend on cow behaviors that they are forced to use neural network (NN) approach. Hence, the purpose of this chapter is to create the concept of static and dynamic zoometry to guide the ergonomics facilities design. The research started with study literature on anthropometry, dairy cattle, facility design, and neural network. The following step is collecting the static zoometry data in 16 dimensions and dynamics zoometry in 7 dimensions. On the one hand, static data is utilized as an input factor. On the other hand, dynamic data is utilized as desire factor of back propagation neural network (BPNN) model. The result of BPNN training is utilized to design the dairy cattle facilities, e.g., cage with minimal length = 357.67 cm, width = 132.03 cm (per tail), and height = 205.28 cm. The chapter successfully developed the concept of zoometry approach and BPNN model as a pioneer of implementing comfort knowledge.

[1]  Roger Frost,et al.  International Organization for Standardization (ISO) , 2004 .

[2]  Patrick van der Smagt,et al.  Introduction to neural networks , 1995, The Lancet.

[3]  K. H. E. Kroemer.  Engineering Anthropometry , 1976 .

[4]  Clive Phillips,et al.  Cattle Behaviour & Welfare , 2002 .

[5]  Darshak A. Desai,et al.  Anthropometric measurements for ergonomic design of students’ furniture in India , 2017 .

[6]  Phil Lee,et al.  Dairy intake is associated with brain glutathione concentration in older adults. , 2015, The American journal of clinical nutrition.

[7]  F. Nielsen,et al.  Nutritional Aspects of Minerals in Bovine and Human Milks , 2009 .

[8]  L. Marino,et al.  The Psychology of Cows , 2017 .

[9]  A. Mortazavian,et al.  Effects of Milk and Milk Products Consumption on Cancer: A Review , 2013 .

[10]  C. Cooper,et al.  Effects of Dairy Products Consumption on Health: Benefits and Beliefs—A Commentary from the Belgian Bone Club and the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases , 2015, Calcified Tissue International.

[11]  Xinghuo Yu,et al.  A general backpropagation algorithm for feedforward neural networks learning , 2002, IEEE Trans. Neural Networks.

[12]  B. S. Lim,et al.  Optimal design of neural networks using the Taguchi method , 1995, Neurocomputing.

[13]  P. Benham.  Synchronization of behaviour in grazing cattle , 1982 .

[14]  Clive J. C. Phillips,et al.  Cattle Behaviour and Welfare , 2002 .

[15]  O. Vázquez,et al.  Factors affecting pasture intake and total dry matter intake in grazing dairy cows. , 2000, Journal of dairy science.

[16]  Laurene V. Fausett,et al.  Fundamentals Of Neural Networks , 1993 .

[17]  Pin Zhang,et al.  Novel Method of Capturing Static and Dynamic Anthropometric Data for Home Design , 2005, EUROCON 2005 - The International Conference on "Computer as a Tool".

[18]  W. B. Currie.  Structure and Function of Domestic Animals , 1992 .

[19]  L. P. Dryden,et al.  Vitamins in milk and milk products. , 1965 .

[20]  C. Holt.  Effect of heating and cooling on the milk salts and their interaction with casein , 1995 .

[21]  Christine M. Haslegrave,et al.  Bodyspace: Anthropometry, Ergonomics And The Design Of Work , 1986 .

[22]  R. Grant,et al.  Taking Advantage of Natural Behavior Improves Dairy Cow Performance , 2007 .

[23]  Ilias Oraifige,et al.  Applying the design of experiment (DoF) to optimise the NN architecture in the car body design system , 2011, The 17th International Conference on Automation and Computing.

[24]  Ilias Oraifige,et al.  Employ the Taguchi Method to Optimize BPNN's Architectures in Car Body Design System , 2012 .

[25]  N. Cook,et al.  Monitoring indices of cow comfort in free-stall-housed dairy herds. , 2005, Journal of dairy science.

[26]  R J Grant,et al.  Effects of Cow Comfort on Milk Quality, Productivity, and Behavior , 2009 .

[27]  R. Grant,et al.  Short-term increases in stocking density affect the lying and social behavior, but not the productivity, of lactating Holstein dairy cows. , 2012, Journal of dairy science.

[28]  Lely Riawati,et al.  Investigating the Impact of Physiological Aspect on Cow Milk Production Using Artificial Intelligence , 2017 .

[29]  Annabel E. Masson,et al.  Anthropometric Study to Understand Body Size and Shape for Plus Size People at Work , 2015 .