Decision Tree based Feeding Program Recommendation in Beef Cattle

A nutritional value feeds is important for the fattening process and effect of healthy in beef cattle. The chemical composition of feedstuffs has different in feeding program in each period for raising such as growing stage and finishing periods for the fattening process. So, the chemical composition values are a key component of this study. Thailand is a traditional way of raising beef cattle and has to usage local feedstuffs such as Rice straw, Napier grass, Corn, Banana tree, etc. However, particularly in Thailand where many local feedstuffs but still need recommendations for the feeding programs. This study focus to utilize computer engineering methods to design an automated classification system that groups of grower and finishing period for the fattening process in beef cattle. This method reliable the recommendation based on the classifications by using Decision tree model were used on data collected from 100 examples feedstuff. The decision tree resulted in a gain ratio with an accuracy level of 97.57% classification model.