Towards a New Architecture: Multi-agent Based Cloud-Fog-Edge Computing and Digital Twin for Smart Agriculture

Yogeswaranathan Kalyani, Rem W. Collier

Abstract: The integration of computing paradigms such as Cloud, Fog, and Edge is rapidly adopted in many domains. One such application is Smart Agriculture, which has diverse requirements for applications ranging from Augmented Reality, Satellite, and auto harvesters to a large number of agricultural devices and sensors. Cloud, Fog, and Edge integration solves several problems such as latency and bandwidth issues, security and privacy, and real-time data analytics. However, the combination has a few challenges, including resource allocation, resource scheduling, and task scheduling. In order to overcome these challenges and bring Smart Agriculture to the next levels of productivity and sustainability, based on Cloud, Fog, Edge computing, and Multi-Agent Systems with a concept of Digital Twin, a novel architecture is introduced in this paper. The proposed architecture is expected to be applied in Smart Agricultural farms and fields, opening new aspects of contemporary applications within the Agriculture domain.