智慧农业研究的回顾与展望  被引量:1

Review and Prospect of Intelligent Agriculture Research

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作  者:姚延婷[1] 孟敏霞 Yao Yanting;Meng Minxia(School of Management,Northwest University of Political Science and Law,Xi'an 710063,Shaanxi,China)

机构地区:[1]西北政法大学管理学院,陕西西安710063

出  处:《农业技术与装备》2023年第7期134-138,141,共6页Agricultural Technology & Equipment

基  金:陕西省科技厅项目“环境规制对陕西省企业绿色技术创新的影响机理研究”(2018KJXX-069)。

摘  要:在国际复杂形势与全球极端天气影响的时代背景下,我国传统农业生产方式的转型迫在眉睫。智慧农业作为农业现代化的高级阶段,是推动农业高质量发展的重要动力。文章选取2009年—2022年智慧农业研究领域的相关文献,梳理了智慧农业的研究现状,阐释了其概念与特征,分析总结了现阶段我国智慧农业领域的研究热点。农业发达国家从战略层面出台重大项目支持智慧农业发展,其技术研发处于国际领先地位;国内研究主要涉及技术研发、实践应用与路径对策3个方面,但存在核心技术仍受制于人、缺少定量指标评价体系与智慧农业风险研究等现实问题。从智慧农业全产业链角度出发,未来研究亟需在关键技术与核心装备、顶层设计规划与发展方案等方面共同发力。Under the background of an international complex situation and global extreme weather,the transformation of traditional agricultural production mode is urgent.As an advanced stage of agricultural modernization,smart agriculture is an important driving force to promote the high-quality development of agriculture.This paper selected relevant kinds of literature in the field of smart agriculture research from 2009 to 2022,sorted out the research status of smart agriculture,explains its concept and characteristics,and analyzed and summarizes the current research hotspots in the field of smart agriculture in China.Agriculturally developed countries have launched major strategic projects to support the development of smart agriculture,and their technology research and develop‐ment are leading the world.Domestic research mainly involves three aspects:technology research and development,practical application,and countermeasures,but there are still some practical problems such as core technology subject to people,lack of quantitative index evaluation system,and risk research of smart agriculture.From the perspective of the whole industrial chain of smart agri‐culture,future research needs to make joint efforts in key technologies and core equipment,top-level design planning,and development programs.

关 键 词:智慧农业 农业现代化 文献综述 发展现状 研究展望 

分 类 号:F323.3[经济管理—产业经济]

 

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