AI辅助提升农户市场应变能力的路径与机制研究

AI-Assisted Enhancement of Farmers’ Market Responsiveness: Pathways and Mechanisms

摘要: 本文旨在探讨人工智能技术如何赋能农户，提升其应对市场变化的能力。在当前农业市场信息不对称、小农户决策滞后的背景下，研究基于文献综述与案例分析，系统梳理了AI技术在农业信息感知、生产决策优化、产销对接等环节的应用机制。研究表明，AI通过构建数据驱动的决策支持系统，能够为农户提供精准的市场预测、生产管理与风险预警，显著增强其市场应变能力与经营效益。然而，该过程仍面临数据利用低效、技术成本偏高、农户数字素养不足等挑战。据此，本文提出应通过技术降本、政策支持、人才培育与机制创新等多维度协同，推动AI技术在农业领域的深度应用，为小农户融入现代化农业体系、实现可持续发展提供有效路径。

Abstract: This study aims to explore how artificial intelligence (AI) technologies can empower farmers to enhance their responsiveness to market changes. Against the backdrop of information asymmetry in agricultural markets and decision-making delays among small-scale farmers, this research systematically examines the application mechanisms of AI technology in agricultural information perception, production decision optimization, and production-marketing linkage through literature review and case analysis. The findings indicate that AI, by constructing data-driven decision support systems, can provide farmers with accurate market forecasting, production management, and risk warning, significantly improving their market responsiveness and operational efficiency. However, challenges such as inefficient data utilization, high technological costs, and insufficient digital literacy among farmers persist. Accordingly, this paper proposes a multi-dimensional collaborative approach involving cost reduction in technology, policy support, talent cultivation, and institutional innovation to promote the deep integration of AI in agriculture, offering effective pathways for small-scale farmers to integrate into modern agricultural systems and achieve sustainable development.