中国农业科技导报2025，Vol.27Issue(9)：11-20,10.DOI:10.13304/j.nykjdb.2025.0064
"数据+AI"双向赋能机制与农业领域实践
Bidirectional Empowerment Mechanism of"Data+AI"and Practical Path in Agriculture
摘要
Abstract
With the formal recognition of data as the fifth factor of production and the transformative breakthroughs in generative artificial intelligence(AI),the integration of"Data+AI"has entered a phase of profound convergence,becoming a critical research focus across industries.Addressing the insufficient exploration of their synergistic mechanisms,the bidirectional empowerment dynamics and implementation pathways were investigated,aiming to provide theoretical frameworks and empirical validation for accelerating AI iteration,unlocking data factor value,and advancing intelligent service deployment.The bidirectional collaborative mechanism between data for AI and AI for data were systematically examined.The relationship between them had evolved from a unidirectional dependency to a state of deep bidirectional synergy,forming a virtuous interactive cycle and entering an application-driven integration phase.In the practical context,taking the National Agricultural Library as a case study,implementation strategies were proposed for the layout and construction of"Data+AI"infrastructure.It outlined a practical pathway centered on a high-quality knowledge base that serves as the foundational pillar-full-chain intelligent engines enabling end-to-end data processing-multi-scenario service capabilities tailored to diverse application needs.This framework ultimately generated an intelligent flywheel effect through the continuous interplay of"data-models-applications".Based on the data-centric AI development paradigm,it emphasized the complementary construction of high-quality big data and small data,co-evolved the general capabilities of large models and the specialized capabilities of small models,deepened the integrated two-way empowerment mechanism,and thereby facilitated the efficient implementation of intelligent application scenarios across various domains.关键词
生成式AI/数据要素/赋能机制/以数据为中心/数智融合/农知大模型Key words
generative AI/data elements/empowerment mechanism/data-centric/data-intelligence integration/agricultural knowledge big model分类
农业科技引用本文复制引用
王彦芳,赵瑞雪.."数据+AI"双向赋能机制与农业领域实践[J].中国农业科技导报,2025,27(9):11-20,10.基金项目
科学技术部科技创新2030——"新一代人工智能"重大项目(2021ZD0113700). （2021ZD0113700）
