FarmAR, a farmer's augmented reality application based on semantic web

Rapid development of mobile computing devices has evolved technologies that are always and everywhere available. Augmented Reality is such a technology that enriches the real-world environment with audio, video and useful information. The agricultural sector is an area where Augmented Reality can be applied with tremendous benefits. In this paper, we present FarmAR, a prototype application that exploits Augmented Reality in order to identity a plant and to provide useful information to the farmer regarding the plant through a mobile device. Moreover, the application is based on a knowledge base which consists of an ontology that describes information concerning the plant.