数字孪生提升农业新质生产力研究：逻辑基础、体系架构与演进路径

Research on Digital Twins Enhancing Agricultural New Quality Productivity: Logical Basis, System Architecture, and Evolutionary Path

摘要:

农业新质生产力概念的提出为降低农业生产成本、提高农业效率与实现农业可持续发展提供了理论基础与探索空间。作为数字经济时代的核心技术之一,数字孪生所具备的精准映射及精准预测功能成为推进农业新质生产力的重要引擎。数字技术特点与农业发展理论对农业新质生产力理论形成提供了逻辑支撑,其体系架构是指由物理生长环境向数字空间映射,经过数据采集、处理、存储及建模后,再向物理对象反馈的过程。基于区域农业绿色全要素生产率与数字技术发展水平的协调程度,数字孪生提升农业新质生产力的演进路径具有不同的侧重点,分别是基于机理孪生的单点应用、基于孪生互动的综合集成、基于动态推演的智能优化及基于孪生协同的生态系统优化。

Abstract:

The proposal of the concept of new agricultural productivity provides a theoretical basis and exploration space for reducing agricultural production costs, improving agricultural efficiency, and achieving sustainable agricultural development. As one of the core technologies in the digital economy era, the precise mapping and prediction functions possessed by digital twins have become important engines for promoting new agricultural productivity. The characteristics of digital technology and agricultural development theory provide logical support for the formation of the theory of new agricultural productivity. Its system architecture refers to the process of mapping from physical growth environment to digital space, collecting, processing, storing, and modeling data, and then providing feedback to physical objects. Based on the degree of coordination between regional agricultural green total factor productivity and the level of digital technology development, the evolution path of digital twinning to enhance agricultural new quality productivity has different focuses, namely single point application based on mechanism twinning, comprehensive integration based on twin interaction, intelligent optimization based on dynamic inference, and ecosystem optimization based on twin collaboration.