湖北农业科学 ›› 2026, Vol. 65 ›› Issue (1): 233-239.doi: 10.14088/j.cnki.issn0439-8114.2026.01.034

• 经济·管理 • 上一篇    下一篇

AI赋能的农机社会化服务对水稻生产技术效率提升机制研究——基于山东省智慧农机应用的实证分析

韩吉财, 袁新   

  1. 山东省惠民县农业农村局,山东 惠民 251700
  • 收稿日期:2025-03-11 出版日期:2026-01-25 发布日期:2026-02-10
  • 作者简介:韩吉财(1970-),男,山东惠民人,高级农艺师,主要从事农业技术推广研究,(电话)18860585009(电子信箱)hjc.111@163.com。
  • 基金资助:
    中国智慧工程研究会职业素养专业委员会《建筑工程施工技术研究》项目(ZHGCX68938)

Research on the mechanism of AI-empowered agricultural machinery socialized services in improving rice production technical efficiency:An empirical analysis based on smart agricultural machinery applications in Shandong Province

HAN Ji-cai, YUAN Xin   

  1. Agricultural and Rural Affairs Bureau of Huimin County, Shandong Province, Huimin 251700, Shandong, China
  • Received:2025-03-11 Published:2026-01-25 Online:2026-02-10

摘要: 基于2023年山东省水稻种植户调查数据,运用超越对数随机前沿模型和Tobit模型,实证检验人工智能(AI)赋能的农机社会化服务对水稻生产技术效率的影响路径。结果表明,智慧农机服务通过人工智能技术显著提升水稻生产技术效率11.2%;AI技术通过智能决策支持、要素动态优化、全环节协同分工三大路径提升效率;异质性分析显示,AI技术在机耕、机收环节效率增益最高,小规模农户因AI服务外包获益最显著。建议推广AI农机社会化服务体系,构建“云平台+智能装备+数据服务”的智慧农业生态。

关键词: 智慧农机, 人工智能(AI), 水稻生产技术效率, 随机前沿分析, 社会化服务, 山东省

Abstract: Based on survey data from rice farmers in Shandong Province in 2023, the translog stochastic frontier model and Tobit model were used to empirically examine the impact pathways of AI-empowered agricultural machinery socialized services on rice production technical efficiency. The results showed that smart agricultural machinery services significantly improved rice production technical efficiency by 11.2% through artificial intelligence technologies. AI enhanced efficiency through three main pathways: intelligent decision support, dynamic factor optimization, and full-process collaborative division. Heterogeneity analysis revealed that AI delivered the highest efficiency gains in land preparation and harvesting, with small-scale farmers benefiting most significantly from AI service outsourcing. It was recommended to promote an AI-enabled agricultural machinery socialization service system and build a "cloud platform + intelligent equipment + data services" smart agriculture ecosystem.

Key words: smart agricultural machinery, artificial intelligence(AI), rice production technical efficiency, stochastic frontier analysis, socialized service, Shandong Province

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