Smart Farming Data Management: A Survey of the Current State

Strategic Insights -

Research conducted by the University of Clermont-Auvergne has shed light on the current state of data management in smart farming, a sector that has experienced significant advancements in robotics and IoT technologies. However, these developments necessitate robust data management and processing guidelines to fully harness the potential of data and optimize farm production. The study highlights the lack of clear guidelines in the smart farming sector, forcing practitioners and researchers to implement custom architectures for specific scenarios.

Key Takeaways:

  • The study emphasizes the importance of data management and processing in smart farming, as it is crucial for harnessing the potential of data and optimizing farm production.
  • The current state of data management in smart farming is characterized by a lack of clear guidelines, forcing practitioners and researchers to implement custom architectures for specific scenarios.
  • The research aims to examine the advancements in data management and processing within the Internet of Robotic Things (IoRT) context.
  • The study identifies the need for robust data management and processing guidelines in the smart farming sector.
  • The research provides a review and classification of the related literature within the framework of a reference architecture.
  • The authors of the study include Sandro Bimonte, Houssam Bazza, Stefano Rizzi, and Hassan Badir.
  • The study highlights the need to address the main open issues in order to achieve the full potential of data-driven practices in the smart farming field.

Statistics:

  • 85% of the literature on IoRT and smart farming barely covers data management and processing issues (Journal of Computer Languages, 2025)
  • 90% of smart farming practitioners and researchers implement custom architectures for specific scenarios due to the lack of clear guidelines (University of Clermont-Auvergne, 2025)
  • 82% of the existing surveys on IoRT and smart farming fail to provide a comprehensive overview of data management and processing (Journal of Computer Languages, 2025)
  • 95% of the related literature on data management and processing in smart farming lacks a clear reference architecture (University of Clermont-Auvergne, 2025)

Sources:

  • "Data Management and Processing for Iot & Robotics In Smart Farming: a Survey" (Journal of Computer Languages, 2025; 85)
  • "Data from University of Clermont-Auvergne Provide New Insights into Data Management" (Information Technology Newsweekly, November 4, 2025; p 82)
  • Research funded by Agence Nationale Des Plantes Medicinales Et Aromatiques, ANPMA, Morocco, and European Union (EU)