基于大数据的农业品牌信息数据集模型研究

Research on Information Data Set Model of Agricultural Brand Based on Big Data

【目的/意义】农业品牌化是农业产业发展的必由之路,品牌化需要大数据来驱动。在大数据环境下,要塑造农业品牌、促使农业产业升级,需要构建农业品牌信息数据集。如何构建农业品牌信息数据集模型,促进农业产业发展是本文拟要解决的问题。【方法/过程】本文首先分析了什么是农业品牌信息数据集,并在此基础上提出了农业品牌信息数据集的四个构成维度,并利用这四个维度结合农业品牌的内涵特征和农业品牌用户的信息需求构建了农业品牌信息数据模型。【结果/结论】通过构建四种信息数据集模型可以有效解决大数据环境下农业品牌化的信息服务问题,有助于培植优秀农业品牌,促进农业产业优化升级。

【Purpose/significance】Agricultural branding is the very important way for the development of agricultural industry,and branding requires big data to drive.In the big data environment,it is necessary to build the agricultural brand information data set,if we want to build the agricultural brand and promote the agricultural industry upgrading.How to construct agricultural brand information data set model and promote the development of agricultural industry is the problem to be solved in this paper.【Method/process】This paper first analyzes what is the agricultural brand data set.On this basis,it puts forward four constituent dimensions of the agricultural brand data set,and uses these four dimensions to construct the information data set model of agricultural brand combining the connotation characteristics of agricultural brands and the information needs of agricultural brand users.【Result/conclusion】By constructing four kinds of information dataset models,the problem of agricultural branding information service under the big data environmentcan be effectively solved,which helps to cultivate excellent agricultural brands and promotesthe optimization and upgrading of agricultural industry.