Design of a Data Management Reference Architecture for Sustainable Agriculture

Görkem Giray and Cagatay Catal
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Görkem Giray: Independent Researcher, Izmir 35320, Turkey
Cagatay Catal: Department of Computer Science and Engineering, Qatar University, Doha 2713, Qatar

Sustainability, 2021, vol. 13, issue 13, 1-17

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

Keywords: sustainability; agriculture; sustainable agriculture; data management; reference architecture; design science research (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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