Towards a Novel Architectural Design for IoT-Based Smart Marine Aquaculture

Abstract

Marine farms must employ innovative solutions and new technologies to increase productivity and supply the seafood demand sustainably. In this paper, we propose a novel four-layers architecture for smart marine farms. The proposed architecture relies on recent advancements and proposes the integration of Internet of Things (IoT) and Internet of Underwater Things (loUT), edge and cloud computing, and machine learning (ML) for efficient and reliable integration of underwater sensors, data transfer among the components in a smart aquaculture farm, and real-time data processing and inference for monitoring and control of smart marine farms. The designed architecture will tackle many fundamental challenges aimed at the autonomous, intelligent, and real-time monitoring and control of smart marine farms. For each component, the issues it tackles and the challenges and guidelines to implementing it are presented. Finally, we shed light on open challenges that still prevent innovative features in smart aquaculture.