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中国智慧农业发展的内在逻辑及现实路径

The internal logic and practical pathways of smart agriculture development in China

  • 摘要: 立足中国资源禀赋约束、经营结构分散与数字要素快速嵌入并存的现实条件,本文从技术逻辑、组织逻辑与制度逻辑三个维度,系统分析中国智慧农业发展的内在依据、现实约束与演进方向,并进一步探讨其现实推进路径。研究发现,中国智慧农业正由以技术嵌入为主导的应用扩展阶段,迈向以制度重构与体系再造为核心的深化发展阶段。其内在机理在于,通过降低信息成本与组织成本,将分散的农业生产单元重构为可计算、可协同的系统性结构,从而推动农业由经验驱动转向数据与认知驱动,由局部优化转向系统优化。进一步而言,中国智慧农业的发展不应局限于局部场景突破,而应向“全量接入、全链贯通、全域覆盖”的全量型路径演进。这一过程本质上是数据要素制度化、组织体系平台化与技术系统场景化协同演化的结果。未来,应以关键技术突破为支撑,以数据底座完善为基础,以组织方式重塑为纽带,以制度机制创新为保障,系统推进农业数据要素流动,降低小农户参与门槛,提升技术场景适配能力,完善可持续商业与金融闭环,从而推动智慧农业形成稳定运行的系统性结构。研究结论有助于深化对中国智慧农业发展逻辑与演进机制的理解,并为以智慧农业推进农业现代化与农业强国建设提供具有结构解释力的理论参考。

     

    Abstract: Given the coexistence of resource endowment constraints, fragmented agricultural operations, and the rapid integration of digital technologies in China, this study systematically examines the underlying rationale, practical constraints, and evolutionary direction of smart agriculture from the perspectives of technological, organizational, and institutional logic. It further explores the practical pathways for advancing smart agriculture in China. The results indicate that China’s smart agriculture is evolving from an application expansion stage dominated by technological integration toward a stage of deeper development centered on institutional restructuring and system transformation. The underlying mechanism lies in reducing information and organizational costs, thereby reconstructing fragmented agricultural production units into a computable and collaborative system. This transformation promotes a shift from experience-driven agriculture to data- and cognition-driven agriculture, and from local optimization to system optimization. Furthermore, the development of smart agriculture in China should not be confined to breakthroughs in isolated application scenarios. Instead, it should evolve toward a comprehensive development path characterized by universal access, full-chain integration, and nationwide coverage. This process essentially reflects the coordinated evolution of institutionalized data elements, platform-based organizational systems, and scenario-oriented technological systems. Looking ahead, China should promote key technological breakthroughs, strengthen the agricultural data infrastructure, reshape organizational forms, and improve institutional mechanisms. Meanwhile, efforts should focus on facilitating the circulation of agricultural data elements, lowering participation barriers for smallholder farmers, enhancing the adaptability of technologies to diverse agricultural scenarios, and establishing sustainable business and financial ecosystems. These measures will support the formation of a stable and well-functioning systemic structure for smart agriculture. The findings deepen the understanding of the development logic and evolutionary mechanism of smart agriculture in China and provide a theoretically grounded framework for advancing agricultural modernization and building China into an agricultural powerhouse through smart agriculture.

     

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