Design of a Data Management Reference Architecture for Sustainable Agriculture

Effective and efficient data management is crucial for smart farming precision agriculture. To realize operational efficiency, full automation, high productivity in agricultural systems, different kinds of are collected from systems using sensors, stored processed advanced techniques, such as machine learning deep learning. Due to the complexity operations, a reference architecture required. While there initiatives design architectures, sustainable agriculture missing. In this study, we follow domain scoping, modeling, stages Four case studies were performed demonstrate applicability architecture. This study shows that proposed practical effective