浙江农业科学

浙江农业科学 ›› 2025, Vol. 66 ›› Issue (12): 2845-2854.DOI: 10.16178/j.issn.0528-9017.20250416

• “两山”理念与绿色农业 • 上一篇    下一篇

人工智能与河南省农业产业链融合——优势、制约与对策

张辉1(), 王军2, 韩鹏3, 孙建军1, 乔璐1, 马瑞俊迪1,*()   

  1. 1.河南省农业科学院 农业经济与农村发展研究所,河南 郑州 450002
    2.郑州航空工业管理学院 大数据科学研究院,河南 郑州 450015
    3.河南省社会科学院,河南 郑州 451464
  • 收稿日期:2025-06-13 出版日期:2025-12-11 发布日期:2025-12-17
  • 通讯作者: 马瑞俊迪,E-mail:18037451189@163.com。
  • 作者简介:张辉,E-mail:nkyzhanghui@163.com。
  • 基金资助:
    河南省农业科学院科技支撑助力乡村振兴能力提升专项(2025-09);河南省农业科学院自主创新项目(2025ZC140);河南科技智库调研重点课题(HNKJZK-2025-11A)

Integration of artificial intelligence and agricultural industry chain in Henan Province: advantages, constraints, and countermeasures

ZHANG Hui1(), WANG Jun2, HAN Peng3, SUN Jianjun1, QIAO Lu1, MA Ruijundi1,*()   

  1. 1. Institute of Agricultural Economics and Rural Development, Henan Academy of Agricultural Sciences, Zhengzhou 450002, Henan
    2. Institute of Big Data Science, Zhengzhou University of Aeronautics, Zhengzhou 450015, Henan
    3. Henan Academy of Social Sciences,Zhengzhou 451464, Henan
  • Received:2025-06-13 Online:2025-12-11 Published:2025-12-17

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摘要：

随着人工智能(AI)的迅猛发展,其在农业领域的应用日益广泛,为农业产业链的发展带来了新的机遇。本文以河南省为例,旨在探讨人工智能与河南省农业产业链融合发展的优势、制约条件以及对策,以推动农业现代化转型。通过系统分析人工智能的内涵、关键技术及其在农业产业链中的应用场景,结合需求耦合理论,评估人工智能与河南省农业产业链的融合潜力。采用案例分析法,总结人工智能在提升资源配置、风险动态管控及产业链协同等方面的实际效果,并基于实地调研与文献研究,剖析融合发展的主要制约因素。结果表明,人工智能在河南省农业产业链中具有显著优势,包括优化资源配置、强化风险管控和促进纵向协同,通过实际案例验证了其应用价值。然而,融合发展面临发展基础薄弱、产业链条复杂、主体力量薄弱及体制机制不完善等制约条件。为促进人工智能与河南省农业产业链深度融合,本文建议从引进和培育人工智能企业与团队、完善创新布局、优化发展机制及强化政策供给等方面制定对策。本研究为区域农业智能化发展提供了理论依据与实践参考。

关键词: 人工智能, 河南省, 农业产业链, 融合

Abstract:

With the rapid development of artificial intelligence (AI), its application in agriculture has become increasingly widespread, presenting new opportunities for agricultural industry chain development. This study took Henan Province as a case to explore the advantages, constraints, and countermeasures for the integrated development of AI and agricultural industry chain, aiming to promote agricultural modernization. Through a systematic analysis of core concepts, key technologies, and application scenarios of AI in agricultural industry chain, combined with demand coupling theory, this study evaluated the integration potential of AI with agricultural industry chain in Henan Province. Case analysis was employed to examine practical effects of AI in improving resource allocation, risk dynamic control, and industrial chain collaboration. Field research and literature review were used to identify key constraints in the integration development. The results showed that AI had significant advantages in agricultural industry chain of Henan Province, including optimizing resource allocation, strengthening risk control, and promoting vertical collaboration. Its application value had been verified through practical cases. However, integration development faced constraints such as weak development foundations, complex industrial chains, weak main forces, and imperfect institutional mechanisms. To promote the deep integration of AI and agricultural industry chain in Henan Province, it is suggested to formulate countermeasures from the aspects of introducing and cultivating artificial intelligence enterprises and teams, improving innovation layout, optimizing development mechanisms, and strengthening policy supply. This study provides theoretical basis and practical reference for the development of regional agricultural intelligence.

Key words: artificial intelligence (AI), Henan Province, agricultural industry chain, integration

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