农业大数据学报2026，Vol.8Issue(1)：1-18,18.DOI:10.19788/j.issn.2096-6369.200008
农业大数据研究发展(2025)
Progress of Agricultural Big Data Research(2025)
摘要
Abstract
Abstruct:To depict the global landscape of agricultural big data research from 2020 to 2024,this study reveals its core trends,emerging frontiers,and the differentiated development paths of key participating countries.Based on 50,502 papers from the Web of Science and Scopus databases,this research employs scientometric methods,utilizes the PhraseLDA model for topic clustering,constructs composite indicators to identify emerging frontiers,and introduces a four-stage maturity framework to systematically position technological frontiers.The study finds that global agricultural big data research is accelerating its evolution from Level 3(System Intelligence)to Level 4(Ecological Synergy),driven by both endogenous technological convergence and the external goal of sustainable development.Three national development models are identified:China's application-driven and whole-chain integration model,the EU's policy-driven and standard-led model,and the U.S.'s market-driven and frontier exploration model.The study indicates that global agricultural big data research has entered a rapid development phase characterized by intelligence,green innovation,and synergy.Despite differing national approaches,technological convergence and sustainable development have become global consensus.Future priorities include AI large models,climate-smart agriculture,open innovation ecosystems,and digital breeding,which will reshape the field of agricultural big data research.关键词
农业大数据研究/农业大数据获取/农业大数据分析/农业大数据应用Key words
agricultural big data research/agricultural big data acquisition/agricultural big data analysis/agricultural big data application引用本文复制引用
吴蕾,马晓敏,孙巍,张学福..农业大数据研究发展(2025)[J].农业大数据学报,2026,8(1):1-18,18.基金项目
国家农业科学数据中心课题"农业大数据研究发展报告(2025)研制"(NASDC2025XM00-03) （2025）
中央高校基本科研业务费项目所级基本科研业务费基金项目"前沿交叉领域融合创新路径识别方法研究"(JBYW-AII-2025-11). （JBYW-AII-2025-11）
