人工智能驱动农业高质量发展:理论逻辑、实践困境与推进路径
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中国农业大学 经济管理学院,北京 10008

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穆月英(1963—),女,山西大同人,中国农业大学经济管理学院教授,主要研究方向为农业经济理论与政策。E-mail:yueyingmu@cauedu.cn

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F320.1

基金项目:

国家社会科学基金重大项目(18ZDA074);国家自然科学基金项目(71773121);现代农业产业技术体系北京市产业经济与政策创新团队项目(BAIC11-2023


Artificial Intelligence Drives High-Quality Agricultural Development: Theoretical Logic, Practical Dilemmas and Promotion Paths
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College of Economics and Management, China Agricultural University, Beijing 100083 , China

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    摘要:

    农业高质量发展是新时代助力建设农业强国、推进中国式农业现代化进程的必然选择,在农业领域深入实施“人工智能 +”行动、加快农业数智化转型升级是赋能农业高质量发展的重要途径。从理论逻辑看,人工智能通过优化要素禀赋实现生产力跃升、缓解信息不对称促进供需对接、带动资源高效利用深化生态经济协同、促进价值链国际化实现全球资源配置、均衡利益分配夯实共同富裕基础。然而,当前人工智能赋能农业高质量发展面临关键核心技术存在短板、农村基础设施较为薄弱、涉农数据资源分散、复合型专业型人才短缺等现实困境。因此,未来应推进关键技术攻关,加快技术转化推广;完善农业基础设施,构建人工智能服务体系;建设高质量农业数据体系,构建数据安全共享机制;加强人才队伍建设,开展分层分类培训,以全面释放“人工智能 +”的融合赋能潜力,推动农业高质量发展。

    Abstract:

    The high-quality development of agriculture is an imperative pathway in the new era for building a strong agricultural nation and advancing agricultural modernization with Chinese characteristics. Deeply implementing the ″Artificial Intelligence +″ initiative in the agricultural sector and accelerating the digital-intelligent transformation and upgrading of agriculture constitute an important approach to empowering the high-quality development of agriculture. From a theoretical perspective, artificial intelligence promotes productivity improvement by optimizing factor endowments, alleviates information asymmetry to enhance supply-demand matching, drives efficient resource utilization to strengthen the synergy between ecological and economic development, facilitates the internationalization of value chains to optimize global resource allocation, and balances interest distribution to consolidate the foundation for common prosperity. However, the current application of artificial intelligence to empower high-quality agricultural development is confronted with practical dilemmas, including bottlenecks in key core technologies, weak rural infrastructure, fragmented agricultural data resources, and a shortage of interdisciplinary and professional talents. Moving forward, it is essential to intensify research on key technological breakthroughs and accelerate the transformation and extension of technological achievements; improve agricultural infrastructure and build an artificial intelligence service system; construct a high-quality agricultural data system and establish a secure data sharing mechanism; strengthen talent team development and carry out tiered and categorized training programs. By doing so, we can fully unleash the potential of the integrated empowerment of ″Artificial Intelligence +″ to effectively drive the high-quality development of agriculture.

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穆月英,刘景政.人工智能驱动农业高质量发展:理论逻辑、实践困境与推进路径[J].,2026,25(1):1-11

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  • 收稿日期:2025-10-31
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  • 在线发布日期: 2026-03-02
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