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Design of a Data Management Reference Architecture for Sustainable Agriculture

Author

Listed:
  • Görkem Giray

    (Independent Researcher, Izmir 35320, Turkey)

  • Cagatay Catal

    (Department of Computer Science and Engineering, Qatar University, Doha 2713, Qatar)

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.

Suggested Citation

  • Görkem Giray & Cagatay Catal, 2021. "Design of a Data Management Reference Architecture for Sustainable Agriculture," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:13:p:7309-:d:585386
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    References listed on IDEAS

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    Cited by:

    1. Jiangning Cao & Yasir Ahmed Solangi, 2023. "Analyzing and Prioritizing the Barriers and Solutions of Sustainable Agriculture for Promoting Sustainable Development Goals in China," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    2. Gilbert E. Mushi & Giovanna Di Marzo Serugendo & Pierre-Yves Burgi, 2022. "Digital Technology and Services for Sustainable Agriculture in Tanzania: A Literature Review," Sustainability, MDPI, vol. 14(4), pages 1-17, February.
    3. Parra-López, Carlos & Ben Abdallah, Saker & Garcia-Garcia, Guillermo & Hassoun, Abdo & Trollman, Hana & Jagtap, Sandeep & Gupta, Sumit & Aït-Kaddour, Abderrahmane & Makmuang, Sureerat & Carmona-Torres, 2025. "Digital technologies for water use and management in agriculture: Recent applications and future outlook," Agricultural Water Management, Elsevier, vol. 309(C).

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