人工智能赋能乡村生态农产品价值提升的路径研究

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DOI：10.20028/j.zhnydk.2026.07.023

关键词： 人工智能; 乡村生态农产品; 价值提升; 路径;

中图分类号：F323

文献标志码：A

文章编号：2096-9902（2026）07-0093-05

Abstract： Against the backdrop of rural revitalization and the development of new quality agricultural productive forces， how to improve the value of rural ecological agricultural products through artificial intelligence （AI） has become an important issue. The study takes Lianyungang City， Jiangsu Province as an example to explore the path for artificial intelligence to empower rural ecological agricultural products to increase the value. Through field research and case analysis， this study found that although AI technology has achieved local efficiency improvements in production， circulation， sales and other aspects， it generally faces insufficient technological adaptation， weak infrastructure， data barriers， algorithm monopoly， and policy talent support. Multiple constraints such as insufficient restrict its deep penetration and value release. Thus， this study builds an integrated path framework of four-dimensional collaboration of "technology-industry-system-talent"， proposing to develop regionally adapted intelligent systems， build smart supply chains， create fair digital markets， implement precise policy interventions， and cultivate localized talents， and other systemic countermeasures. The research results aim to provide a path reference with both theoretical value and practical significance for the digital transformation of agriculture and the high-quality development of rural industries in Lianyungang and other areas.

Keywords： artificial intelligence （AI）; rural ecological agricultural products; value improvement; path; Lianyungang

在乡村振兴与农业强国战略深入推进的背景下，探索人工智能如何赋能乡村生态农产品价值提升，成为一个兼具理论与现实意义的重要议题。（剩余6750字）