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农业数据共享审查

Agriculture data sharing review.

作者信息

Chamorro-Padial Jorge, Virgili-Gomá Jordi, Gil Rosa, Teixidó Mercè, García Roberto

机构信息

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

出版信息

Heliyon. 2024 Dec 27;11(1):e41109. doi: 10.1016/j.heliyon.2024.e41109. eCollection 2025 Jan 15.

DOI:10.1016/j.heliyon.2024.e41109
PMID:39834403
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11745808/
Abstract

This study conducts a bibliometric analysis of 252 scientific publications from 2001 to 2023, exploring the evolution and emerging trends in agricultural data spaces. Analyzing articles from the Web of Science and Scopus databases, we address six research questions: the current and interconnected key topics in agricultural data spaces (RQ1), the evolution of research themes over time (RQ2), emerging trends in the field (RQ3), the identification of leading researchers (RQ4), and the primary funding sources for this research area (RQ5), the relationship among research data and small farmers (RQ6). Our findings reveal a shift from traditional to innovative research themes, such as the increasing focus on the Internet of Things (IoT), Blockchain, and Digital Storage. This indicates a trend toward modernizing agricultural practices through technology. We found that the rise of these topics is not correlated with the results shown by Google Scholar for these same terms but is correlated with the economic impact of such areas. Prominent authors and significant funding sources, including the European Union, the United States Department of Agriculture, and Chinese research programs, have been identified, proving the global interest and investment in the digitalization of agriculture. We continue our analysis by identifying some barriers that prevent small farmers from using or sharing research data, among them cultural contexts, lack of trust in providers, and ignorance of terms and conditions. This study offers valuable insights for researchers, policymakers, and practitioners, focusing on the evolution of the dynamic landscape of agricultural data spaces and potential future innovations in fields like data analytics and Artificial Intelligence, Internet of Things, Blockchain, digital divide and digital farming platforms. Our findings emphasize the necessity for targeted policy interventions and support mechanisms to bridge the gap and enable small and medium farmers to benefit from advancements in agricultural data spaces and digitization.

摘要

本研究对2001年至2023年的252篇科学出版物进行了文献计量分析,探讨了农业数据空间的演变和新趋势。通过分析科学网和Scopus数据库中的文章,我们提出了六个研究问题:农业数据空间中当前相互关联的关键主题(研究问题1)、研究主题随时间的演变(研究问题2)、该领域的新趋势(研究问题3)、主要研究人员的识别(研究问题4)、该研究领域的主要资金来源(研究问题5)、研究数据与小农户之间的关系(研究问题6)。我们的研究结果显示,研究主题从传统向创新转变,例如对物联网、区块链和数字存储的关注度不断提高。这表明通过技术实现农业实践现代化的趋势。我们发现,这些主题的兴起与谷歌学术搜索中这些相同术语所显示的结果无关,但与这些领域的经济影响相关。已确定了包括欧盟、美国农业部和中国研究项目在内的杰出作者和重要资金来源,证明了全球对农业数字化的兴趣和投资。我们继续分析,找出了一些阻碍小农户使用或共享研究数据的障碍,其中包括文化背景、对数据提供者缺乏信任以及对条款和条件的无知。本研究为研究人员、政策制定者和从业者提供了有价值的见解,重点关注农业数据空间动态格局的演变以及数据分析、人工智能、物联网、区块链、数字鸿沟和数字农业平台等领域未来可能的创新。我们的研究结果强调了有针对性的政策干预和支持机制的必要性,以弥合差距,使中小农户能够从农业数据空间和数字化的进步中受益。

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