Towards an intelligent livestock farm management using OWL-based ontology model

Abstract

In this paper, we have designed the ontology model to achieve a cost effective livestock farm environment by maintaining safety and quality. The proposed model is built with the situational context aware data by making use of the wireless sensor network (WSN). The concepts of the proposed model are identified after considering all the possibilities with respect to the control services that help to increase the productivity and automation in the livestock farm environment. The health and diet management along with the environmental services are considered as a main service, which is a deniable fact. In addition to these services, uprising and downsizing of stock prices can affect the management behavior in regard to the production services. In order to solve the issue, both the health and diet management plans are monitored and modified automatically with respect to the changes in the stock market. With the proposed ontology model, the information from Internet of Things (IoT) is recomposed as context information, which helps in the understanding of the relationship between the livestock environmental factors.