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新一代信息技术驱动下的农业信息化发展思考 被引量:30

Considerations for the Development of Agricultural Informatization Driven by a New Generation of Information Technologies
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摘要 [目的/意义]目前全球正处于信息化时代,农业信息化的发展已成为现代化农业发展的重要方向,因此有必要探索新一代信息技术对农业信息化的推动作用。[方法/过程]总结新一代信息技术在农业领域应用的现状,对新一代信息技术推动农业信息化发展的路径进行分析,提出新一代农业信息技术创新与集成应用的策略。[结果/结论]提出通过新一代信息技术创新补齐农业信息化和现代化短板,助力“乡村振兴战略”,实现并加速“四化同步,融合发展”。推动新一代信息技术在农业中的应用必须依赖于技术创新、模式创新、机制创新和政策创新。 [Purpose/Significance]At present,the world is in an information age,and the development of agricultural information has become an important development direction of modern agriculture.Therefore,it is necessary to explore how a new generation of information technologies promotes the development of agricultural informatization.[Method/Process]This paper summarizes the current situation of the applications of the new generation of information technologies in the agricultural field,analyzes the path of the technologies to promote the development of agricultural informatization,and puts forward the strategy of the innovation and integrated applications of the technologies.[Results/Conclusions]The paper proposes to supplement the shortcomings of agricultural informatization and modernization through the innovation of a new generation of information technologies,helps the"village revitalization strategy",and realizes and accelerates the"synchronization of the four modernizations and integrated development".Promoting the applications of information technologies in agriculture must rely on technological innovation,model innovation,mechanism innovation and policy innovation.
作者 孙坦 黄永文 鲜国建 崔运鹏 刘娟 SUN Tan;HUANG Yongwen;XIAN Guojian;CUI Yunpeng;LIU Juan(Agricultural Information Institution of CAAS,Beijing 100081;Key Laboratory of Agricultural Big Data,Ministry of Agriculture and Rural Affairs,Beijing 100081)
出处 《农业图书情报学报》 2021年第3期4-15,共12页 Journal of Library and Information Science in Agriculture
基金 国家社会科学基金项目“融合多种知识组织体系的认知搜索模式研究”(20BTQ014)。
关键词 新一代信息技术 农业信息化 人工智能 大数据 科学数据 智慧农业 new generation of information technologies agricultural informatization artificial intelligence big data scientific data smart agriculture
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