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Agriculture data sharing review.

Jorge Chamorro-Padial1, Jordi Virgili-Gomá1, Rosa Gil1

  • 1Universitat de Lleida, Carrer Jaume II, 69, Lleida 25001, Spain.

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|January 21, 2025
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Summary
This summary is machine-generated.

This study analyzes agricultural data spaces, revealing a trend towards technology like the Internet of Things (IoT) and Blockchain. It highlights barriers for small farmers and emphasizes the need for support to leverage digital advancements.

Keywords:
AgricultureBibliometric analysisData sharingData spaceDigital transformation in agricultureDigitalizationFarmersTechnological advancements in agricultural data

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Area of Science:

  • Agricultural Science
  • Information Science
  • Bibliometrics

Background:

  • Agricultural data spaces are crucial for modernizing farming.
  • Understanding their evolution and trends is vital for stakeholders.
  • Previous research has not fully explored the interconnectedness of topics and farmer adoption barriers.

Purpose of the Study:

  • To conduct a bibliometric analysis of agricultural data spaces from 2001-2023.
  • To identify key topics, research evolution, emerging trends, leading researchers, and funding sources.
  • To investigate the relationship between research data and small farmers, including adoption barriers.

Main Methods:

  • Bibliometric analysis of 252 publications from Web of Science and Scopus.
  • Analysis of research themes, author prominence, and funding bodies.
  • Qualitative assessment of barriers to small farmer data utilization.

Main Results:

  • A shift from traditional to innovative themes like Internet of Things (IoT), Blockchain, and Digital Storage.
  • Identification of key global research players and funding sources (e.g., EU, USDA).
  • Barriers for small farmers include cultural factors, trust issues, and lack of understanding of terms.

Conclusions:

  • The digitalization of agriculture is a globally invested area with significant technological trends.
  • Targeted policies and support are needed to enable small and medium farmers to benefit from agricultural data spaces.
  • Future innovations may lie in data analytics, AI, IoT, and digital farming platforms.