Architectural Design of Data Management and Analytics Platforms for Smart Farming

Summary

By introducing smart farming systems, farm management decisions can be enhanced based on solid data and good knowledge. Smart farming systems incorporate various emerging technologies to transform raw data into valuable information. When the required information is provided to the farmers, they can learn and combine the information with their farm experiences to make better decisions. Due to the enhancement of data management and analytics platforms, smart farming systems have become more powerful in providing information based on comprehensive analysis. Although smart farming systems provide several benefits, their implementation in practice currently lags behind expectations due to a lack of proper infrastructure. Therefore, a system architecture that is adaptive, maintainable, and robust is needed to cope with different implementations of smart farming systems. Thus, the objective of this research is to analyze and develop a generic reference architecture model for data management and analytics platform for smart farming systems.