大数据时代人工智能技术在农业领域的研究进展  被引量:80

A Survey of Researches on Artificial Intelligence in the Field of Agriculture in Big Data Era

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作  者:陈桂芬[1] 李静 陈航[2] 安宇 CHEN Guifen;LI Jing;CHEN Hang;AN Yu(College of Information Technology,]ilin Agricultural University,Changchun 130118,China;]ilin Provincial Institute of Science and Technology Information,Changchun 130033,China)

机构地区:[1]吉林农业大学信息技术学院,长春130118 [2]吉林省科学技术信息研究所,长春130033

出  处:《吉林农业大学学报》2018年第4期502-510,共9页Journal of Jilin Agricultural University

基  金:国家"863"项目(2006AA10A309);国家星火计划项目(2015GA660004);吉林省重点科技研发项目(20180201073SF)

摘  要:随着人工智能和大数据技术的飞速发展及对农业领域的全面普及,作为信息技术与农业领域深度融合的标志性技术——智慧农业,必将为现代农业带来革命性的技术创新。文中分析了人工智能和大数据技术在国内外农业领域应用的研究现状,通过案例重点阐述了大数据时代人工智能技术带来的农业生产方式的新模式、农产品经营状态的新体系、农业领域管理服务的新思维,并通过大数据时代下群体智能、混合—增强智能与自主智能等人工智能技术的发展方向,展望了未来农业的应用前景,为我国智慧农业的发展提供理论基础。With the rapid development of artificial intelligence and big data technology and their comprehensive penetration in agriculture,smart agriculture,as the landmark technology for the deep integration of information technology and agriculture,will inevitably bring revolutionary technology innovation of modern agriculture. This paper makes an in-depth study of the application of artificial intelligence and big data technology in agriculture at home and abroad. Through a case study,a new mode of agricultural production,a new system of agricultural product management and a new thinking of agricultural management service brought by artificial intelligence technology in the era of big data are expounded. Through the development direction of such artificial intelligence technologies as swarm intelligence,hybrid-enhanced intelligence and autonomous intelligence in the big data era,the prospect of agriculture in the future was analyzed,which provides a theoretical basis for the development of smart agriculture in China.

关 键 词:人工智能 大数据 智慧农业 群体智能 混合—增强智能 自主智能 

分 类 号:S126[农业科学—农业基础科学] S24

 

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