A Designing Dairy Cattle Facilities Based on Statics/Dynamic Zoometry by Using Artificial Intelligence
Abstract: The dairy cattle
productivity is very depending on the quality of their facilities and their environment
condition. A lot of researches have been done in this area, but it is not
developing the knowledge of animal dimensions and behaviours correlated with
their facilities design. Complexities of dynamics zoometry is very depending on
cow behaviours that it forced to use neural network (NN) approaching. Hence,
the purposes of the paper is to create the concept of static and dynamic
zoometry approach to guide the ergonomics facilities design and the modern of
dairy cattle house based on zoometry data by using artificial neural network.
The research is started with study literature of anthropometry, CAD design,
dairy cattle, facility design and neural network. The next step is collecting
the data of cow dimensions for static zoometry (17 variables) and cow
behaviours for developing the concept of dynamics zoometry (5 variables). The
static data is used as input factor and dynamic data as desire of Back
Propagation NN model. The result of BPNN training is used to design the dairy
cattle facilities, e.g. 3D CAD house with minimal length = 357.67 cm, minimal
width = 132.03 cm (per tail) and minimal height = 205.28 cm. Finally, the paper
is successfully developed the concept of zoometry approach and BPNN model as
pioneer of implementing comfort knowledge.
Author: Sugiono, Rudy Soenoko,
Rio Prasetyo Lukodono
Journal Code: jptkomputergg170158
