摘要
中国农业面临能效不足、效益不强、效率不高以及各生产环节缺少耦合等问题,导致过程衔接不够紧密、农业发展相对粗放。目前中国农业基础数据较少,结构不够标准。随着云计算的普及、物联网的推广等,采集数据能力得到了提升,中国农业大数据的分析与挖掘正在快速发展。当前,从农业的各个环节来说,大数据已应用到对农产品市场的实时引导、食品安全的流程监测、精准布局的生产决策等领域。未来,技术上需加强数据科学与农业的交叉研究,基于现代农业的基础数据要有新的突破;政策上要加强农业数据的管理,完善治理结构,尽早解决数据开放与共享方面的问题。
China's agriculture is facing the problems such as insufficient energy efficiency,not strong efficiency,low efficiency,lack of coupling among the various production processes,which result in the convergence of each process not close enough and the relatively extensive agricultural development.At present,China's agricultural basic data is less,and its structure is not enough standard.As the popularity of cloud computing and the promotion of Internet of Things,the ability of data collection has been improved and China's agricultural big data analysis.Currently,from all perspectives of agriculture,the big data has been applied to many fields such as the agricultural market realtime guidance,food safety process monitoring,and precise layout of production decision-making and so on.In the future,in the field of technology,it is necessary to strengthen the cross-research of data science and agriculture,and to make new breakthroughs in the basic data of modern agriculture;in the field of policy,it is necessary to strengthen the management of agricultural data,and to improve the governance structure,so as to solve the problem of data opening and sharing as soon as possible.
作者
满芮
Man Rui(Agricultural Information Institute of CAAS, Key Laboratory of Agricultural Big Data, Ministry of Agriculture, Beijing 100081)
出处
《农业展望》
2017年第9期87-91,95,共6页
Agricultural Outlook
基金
基金项目:中国农业科学院科技创新工程(CAAS-ASTIP-2016-AII)
关键词
大数据
农业现代化
应用研究
基础数据
big data
agricultural modemization
application research
basic data