粮油食品科技2016，Vol.24Issue(5)：98-101,4.
大数据在粮库粮情预测中的应用
Application of big data to forecast of grain situation in grain depot
摘要
Abstract
According to the aggregating incremental effect in many industries by big data,the actualities that big data is lacked in the field of grain situation forecast in our country are analyzed. The big data of grain situation in grain depot is collected by establishment of cloud service platform shared among grain storage companies with the help of scalable EM probability clustering algorithm for massive data sets based on partial constraint information. Some opinions about grain storage security are proposed for provi-ding better theory technical support to grain situation forecast in the futurity,and pointing out that the ap-plication of big data will become an important means and ways to improve food safety coefficient,so as to realize the goal of cost reduction and benefit increasing,at the same time looking forward to the future de-velopment trend.关键词
粮情预测/大数据/云平台/数据挖掘Key words
grain situation forecast/big data cloud platform/data mining分类
农业科技引用本文复制引用
胡荣辉,甄彤,陶文浩,陈军涛..大数据在粮库粮情预测中的应用[J].粮油食品科技,2016,24(5):98-101,4.
