农业大数据技术研究现状与发展趋势

Research Status and Dvelopment Trend of Agriculture Big Data Technology

分析了农业大数据清洗技术、尺度转换技术、融合技术、关联分析与预测技术、可视化技术及具体应用等方面的研究现状与发展动态,从分布式并行算法、时空插值、本体理论、背景挖掘、时空制图等方面对农业大数据相关技术的发展趋势进行了分析与展望。研究结果对促进大数据技术与农业信息科学交叉发展及建立农业大数据基础技术体系具有参考价值。

The research status of agriculture big data cleaning technology, scale conversion technology ,fusion technology, correlation analysis and prediction technology,visualization technology and concrete applications were analyzed. The development trends were also analyzed from the as- pects of distributed parallel algorithm, spatial and temporal interpolation, ontology＂ theory, background mining, spatial and temporal mapping. It has important reference significance in promoting the cross development of big data technology and agriculture information science and the establish- mcnt of agriculture big data basic analysis technology system.