A Balance Diet Management System for Livestock using an OWL-based Ontology Model

Abstract

Background/Objectives: The main objective of the proposed model is to design an ontology model that focuses on the automation of the nutrition management in livestock. Methods/Statistical Analysis: In this paper, we have used Pellet reasoner which complies with the SWRL rule, for finding the accurate reasoning of the relationship between the entities. The proposed ontology model is designed and tested in the Protege 4.3. An experimental scenario is explained for the detailed understandings of the ontology model. Findings: Each livestock has different health and needs special care on diets according to the age, weight, health and phase of the livestock. It is not certain that all types of cow require the same amount of nutrients, as they vary in age, growth and health evidently. Therefore, the ontology model is used to define the relationship between the classes, which are built to automatically detect the accurate amount of nutrient supply for the cow, with the help of knowledge base. Improvements: Livestock ontology model for diet management is a reassuring model in the automation of feed management. In other words, the model is capable of deciding the nutrition requirement for the cow based on the basic information without any human intervention.