热带农业大数据应用平台设计  

Design of Big Data Application Platform of Tropical Agriculture

作　　者：秦小立[1] 叶露[1] 李玉萍[1] 刘燕群[1] 梁伟红[1] 

机构地区：[1]中国热带农业科学院科技信息研究所/海南省热带作物信息技术应用研究重点实验室,海南儋州571737

出　　处：《热带农业科学》2018年第1期130-136,共7页Chinese Journal of Tropical Agriculture

基　　金：中国热带农业科学院基本科研业务费专项资金(No.1630072016010;1630072017002)

摘　　要：热带农业存在信息量大、数字化水平低、关联性强、涉及领域多、结构复杂等特点,大数据技术能可以进行资源整合、规律发现和价值数据挖掘,能很好地满足热带农业发展的需求。综述国内外农业大数据发展现状及存在问题,结合国家"一带一路"战略需求,分析我国热带农业大数据应用平台建设的重要性,然后提出热带农业大数据应用平台的基础设施层、数据层、平台层、应用层4层架构,设计了数据采集、数据处理、数据储存、数据分析挖掘、数据可视化和应用6个环节的技术架构,对6环节及技术架构进行了详细描述,并分析热带农业大数据应用平台的发展前景。Tropical agriculture had a large amount of information, low level of digital, strong correlation, more areas and complex structure. Big Data technology had the advantage of promoting the development of tropical agriculture with integrate resources, law discovery and the value of data mining. The current situation and existing problems of agricultural data at home and abroad were summarized, the importance of the construction of big data application platform of tropical agriculture in China was analyzed with the national strategic needs of ＂the Belt and Road＂. Then, the four layers of big data application platform of tropical agriculture were proposed, including the infrastructure layer, data layer, platform layer and application layer. The data acquisition, data processing, data analysis and mining, data visualization and application were designed. The 5-tier architecture and five links were described in detail.The prospect of big data application platform of tropical agriculture was analyzed.

关 键 词：热带农业 大数据应用平台 资源整合 可视化 

分 类 号：S126[农业科学—农业基础科学] TP392[自动化与计算机技术—计算机应用技术]