新质生产力赋能农业数智化转型论析
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武汉理工大学 马克思主义学院,湖北 武汉 430070

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F323

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国家社会科学基金项目“中华优秀传统文化传承发展研究”(19BKS207)。


On Empowering the Smart-Digital Transformation of Agriculture Through New-Quality Productive Forces
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    摘要:

    新质生产力兼具经济与社会双重属性,是马克思主义关于生产力理论的又一次创新。在数智化时代,面对我国农业大而不强的突出问题,新质生产力已然成为建设农业强国的根本动力,而农业数智化则是新质生产力基于我国农业国情的必然选择与应用。从出场逻辑看,新质生产力为农业数智化的出场,提供了马克思主义生产力理论和新质生产力的理论基础;指明了新一轮科技革命和产业变革的历史交汇;阐明了农业数智化的跃迁升级源于新质生产力的持续赋能。囿于农业在中国特殊的历史地位与产业环境,新质生产力赋能农业数智化转型,面临着农业数智化人才匮乏、农业数智化基础设施滞后、农业产业链供应链集成化水平较低、农业数智化产业政策支持力度不足的“人-物-链”系统性、闭环型困境。为加速实现农业数智化转型,必须以大力推动农业颠覆性科技创新运用为核心,以积极构建农业数智化生态链和加速农业全要素提质增效为两翼,最终以农业强国赋能社会主义现代化强国建设。

    Abstract:

    New-quality productive forces, which embody both economic and social attributes, represent a new theoretical innovation in Marxist productivity theory. In the era of digital intelligence, amid the pressing issue of China’s agriculture being large in scale but weak in strength, new-quality productive forces have emerged as the fundamental driving force for building an agricultural powerhouse, and the agricultural digital intelligence is thus the inevitable choice and the practical application of the new quality productive forces in China’s unique agricultural contexts. From the perspective of its emergence, new-quality productive forces provide a Marxist theoretical foundation for the rise of agricultural smart-digital transformation; they clarify the historical convergence of the new technological revolution and industrial transformation; and they explain how the leap and upgrade of agricultural digital intelligence is continuously empowered by the development of these new forces. However, due to the special historical position and industrial status of agriculture in China, empowering agricultural smart-digital transformation with new-quality productive forces faces systemic and closed-loop challenges across the “people–infrastructure–supply chain” dimensions: the shortage of agricultural digital intelligence talents, lagging agricultural digital intelligence infrastructure, fragmented agricultural supply chains, and insufficient policy support for agricultural digital intelligence industry. In order to accelerate the transformation of agricultural data intelligence, it is imperative to vigorously promote the application of agricultural subversive scientific and technological innovation, while simultaneously constructing a robust agricultural digital intelligence ecosystem and enhancing the quality and efficiency of all production elements. Ultimately, this transformation will contribute to the construction of a strong agricultural sector and empower the broader goal of building a modern socialist country.

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陈波,郭瑞达.新质生产力赋能农业数智化转型论析[J].华中农业大学学报(社会科学版),2025(4):84-93

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  • 收稿日期:2024-07-16
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  • 在线发布日期: 2025-07-18
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