江西财经大学学报 ›› 2026, Vol. 0 ›› Issue (3): 92-102.

• “三农”研究·人工智能专题 • 上一篇    下一篇

人工智能赋能农业社会化服务质效提升的内在机理与推进策略

仇焕广1, 许佳彬2   

  1. 1.辽宁大学 经济学院,辽宁 沈阳 110136;
    2.东北农业大学 经济管理学院,黑龙江 哈尔滨 150030
  • 收稿日期:2026-03-15 修回日期:2026-04-18 出版日期:2026-05-25 发布日期:2026-05-29
  • 通讯作者: 许佳彬,东北农业大学副教授、中国人民大学博士后,管理学博士,主要从事农业经济与畜牧经济研究,联系方式xujiabin0319@neau.edu.cn。
  • 作者简介:仇焕广,辽宁大学教授、中国人民大学教授,管理学博士,主要从事资源环境政策研究。
  • 基金资助:
    国家社会科学基金重大项目“我国粮食中长期消费预测及供应结构优化研究”(25&ZD170)

The Internal Mechanism and Advancement Strategies for Enhancing the Quality and Efficiency of Agricultural Socialized Services through Artificial Intelligence Empowerment

Qiu Huan-guang1, Xu Jia-bin2   

  1. 1. Liaoning University, Shenyang 110000;
    2. Northeast Agricultural University, Harbin 150030, China
  • Received:2026-03-15 Revised:2026-04-18 Online:2026-05-25 Published:2026-05-29

摘要: 发展农业社会化服务是构建现代农业经营体系的关键举措,人工智能技术迭代升级为农业社会化服务质效提升注入新动能。基于马克思主义科技革命理论和分工演进视角分别界定了人工智能和农业社会化服务质效提升内涵,构建人工智能赋能农业社会化服务质效提升理论框架,剖析人工智能赋能的现实基础,并提出具体推进策略。研究发现:人工智能以数据为核心、算力为支撑、算法为内核,通过要素重构、流程优化、成本管控和模式创新,破解服务资源配置失衡、全链条衔接不畅、成本管控低效、服务供给同质等痛点,确保农业社会化服务“配则优”“链则通”“省则盈”“新则活”。当前人工智能政策体系逐步完善、产业规模持续扩张、核心技术迭代提速、人才队伍持续壮大,但人工智能赋能农业社会化服务质效提升仍存在专项制度缺位、融合布局滞后、适配技术匮乏、跨界复合型人才短缺等瓶颈。因此,“十五五”时期应进一步完善政策支持体系、培育产业融合生态、强化场景化技术研发、构建跨界人才培养体系,发挥人工智能赋能农业社会化服务质效提升的最大效能。

关键词: 农业社会化服务质效, 人工智能, 科技革命, 分工演进, 现代农业经营体系

Abstract: The development of agricultural socialized services is a key measure for building a modern agricultural management system, and the iterative upgrading of artificial intelligence (AI) technology injects new momentum into improving the quality and efficiency of these services. Based on the Marxist theory of technological revolution and from the perspective of division of labor evolution, this paper defines the connotation of improving the quality and efficiency of artificial intelligence and agricultural socialized services, constructs a theoretical framework for empowering agricultural socialized services with artificial intelligence, analyzes the practical basis of artificial intelligence empowerment, and proposes specific promotion strategies. Research has found that artificial intelligence relies on data as its core, computing power as its support, and algorithms as its core. Through element reconstruction, process optimization, cost control, and model innovation, it can solve pain points such as imbalanced service resource allocation, poor chain connection, inefficient cost control, and homogeneous service supply, ensuring that agricultural socialized services are “optimized”, “connected”, “profitable”, and “active”. The current policy system for artificial intelligence is gradually improving, the industry scale continues to expand, the iteration of core technologies is accelerating, and the talent team continues to grow. However, there are still bottlenecks such as the lack of special systems, lagging integration layout, lack of adaptive technology, and shortage of cross-border composite talents in the quality and efficiency improvement of agricultural socialized services empowered by artificial intelligence. Therefore, during the 15th Five Year Plan period, it is necessary to further improve the policy support system, cultivate an industry integration ecosystem, strengthen scenario based technology research and development, and build a cross-border talent training system, in order to maximize the effectiveness of artificial intelligence in empowering the quality and efficiency improvement of agricultural socialized services.

Key words: quality and efficiency of agricultural socialized services, artificial intelligence, technological revolution, evolution of division of labor, modern agricultural management system

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