引用本文:赵冰,毛克彪,蔡玉林,王涵,孟祥金,袁紫晋.农业大数据关键技术及应用进展[J].中国农业信息,2018,30(6):28-37
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农业大数据关键技术及应用进展
赵冰1,毛克彪2,3,蔡玉林1,王涵4,孟祥金5,袁紫晋2
1.山东科技大学测绘科学与工程学院,青岛266590;2.中国农业科学院农业资源与农业区划研究所,呼伦贝尔草原生态系统国家野外科学观测研究站,北京100081;3.湖南农业大学资源环境学院,长沙410128;4.重庆交通大学,重庆400074;5.山东建筑大学测绘地理信息学院,济南250100
摘要:
目的 为了保障我国的粮食安全,促进农业大数据在农业领域的充分应用。方法 通过对国内外大数据文献的调研和分析,对大数据理论的提出、发展和应用做了简单回顾。以此为背景,对农业大数据的关键技术和瓶颈问题进行分析,指出中国农业大数据发展中存在的主要问题,在此基础上,探索了农业大数据发展的理论、应用方法以及相关案例等,并对未来农业大数据发展进行了展望。【结果/结论 我国农业现代化需要大数据技术提供决策支持,并结合人工智能技术、物联网技术、互联网技术在农业全产业链中的发挥合力,促进农业转型升级,实现我国农业全要素的现代化、信息化发展。
关键词:  大数据  农业大数据  应用领域  关键技术
DOI:10.12105/j.issn.1672-0423.20180603
分类号:
基金项目:国家重点研发计划课题“高时空分辨率多源卫星遥感气象灾害产品融合技术”(2018YFC1506502)和陆面过程模拟与数据同化分析(2018YFC1506602),国家自然科学基金项目“基于遥感研究气候变化背景下农业旱灾时空变化对粮食生产影响”41571427国家重点研发计划课题“高时空分辨率多源卫星遥感气象灾害产品融合技术”(2018YFC1506502)和陆面过程模拟与数据同化分析(2018YFC1506602),国家自然科学基金项目“基于遥感研究气候变化背景下农业旱灾时空变化对粮食生产影响”(41571427)
Research progress of the key techniques and applications for big data in agriculture
Zhao Bing1,Mao Kebiao2,3,Cai Yulin1,Wang Han4,Meng Xiangjin5,Yuan Zijing2
1.College of Geomatics,Shandong University of Science and Technology,Qingdao 266590,China;2.National Hulunber Grassland Ecosystem Observation and Research Station,Institute of Agricultural Resources and Regional Planning,Chinese Academy of Agricultural Sciences,Beijing 100081,China;3.College of Resources & Environment,Hunan Agricultural University,Changsha 410128,China;4.Chongqing Jiaotong University,Chongqing 400074,China;5.College of Surveying and Mapping Geographic Information,Shandong Architectural University,Jinan 250100,China
Abstract:
Purpose The paper discusses the problems faced by China in the development of agricultural big data and puts forward reasonable suggestions in order to provide references for the further development and application of agricultural big data as well as promote the development of agricultural big data applicationMethod Through the research and analysis of domestic and overseas literature about big data,the paper made a brief review of the proposal,development and application of big data theory. On this basis,the paper analyzed the key technologies and bottlenecks of agricultural big data,and pointed out the main problems in the development of China’s agricultural big data. Then,the paper explored the theory,application methods and related cases of agricultural big data development,and looked forward to the future development of agricultural big data. [Result/Conclusion The modernization of China’s agriculture requires big data technology to provide decision support. Big data technology combining artificial intelligence technology,Internet of things technology and Internet technology plays a joint role in the entire agricultural industry chain,promotes agricultural transformation and upgrading,and realizes the modernization and information development of China’s agricultural total factors.
Key words:  big data  agricultural big data  application field  key technology