Design of Smart Farm Service Architecture Based-On Microservice

초록

With the rapid advancements in IoT, big data, and AI technologies, smart farm and agriculture have emerged as a key solution for improving productivity and maintaining optimal crop growth environments, leading to various ongoing studies. As part of this research, this paper proposes a microservice-based smart agriculture framework that integrates cloud and edge computing. The framework consists of cloud, edge, controller, and device entities, each playing a crucial role in ensuring efficient environmental control and real-time decision-making for crop growth. By incorporating edge computing, the proposed service architecture mitigates issues related to network latency and failures, thereby enhancing system stability and responsiveness. Moreover, the service management module, present in both cloud and edge entities, enables flexible service scalability and version control while ensuring seamless operation even during network outages. Through the implementation of a testbed, we validated the system's operational procedures and demonstrated that the edge-enabled architecture reduces response times by approximately 40% in high-latency network conditions. This study highlights the potential of edge computing in smart agriculture and lays the groundwork for future research focusing on comprehensive performance evaluations and high-availability service monitoring in various environments. © 2025 IEEE.

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