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县域农产品交易信息网建设思路及技术实施

发布时间:2018-03-27 17:29

  本文选题:县域 切入点:农产品交易信息 出处:《天津大学》2014年硕士论文


【摘要】:在国内已有数量庞大的农产品信息类网站的前提下,仍然频发农产品的“卖难买贵”现象,说明这些网站并未发挥应用的作用,而原因则在于这些网站未能发现农村用户对农产品信息的真正需求。本研究立足农村,从县域范围用户需求分析出发,构建针对县域产品品类的农产品交易信息平台,,以缓解因信息不对称(或者信息泛滥)造成的农产品流通困境,服务于当地农村经济发展。 本文首先分析了县域农产品交易信息平台这一主题在国内外研究的现状。然后,从县域范围用户的实际需求出发,进行深入细致的需求分析和模块设计,规划该平台主要有农产品资讯、价格走势和农产品交易成功率计算器三大功能模块,其中与县域范围内农产品品类有关的价格信息系利用聚焦爬虫技术自动采集,将采集的数据加工后形成图文形式的资讯和价格走势,而交易成功率计算器则通过建立复杂的数学模型测算用户所出的价格能够卖出或买入某产品的成交率。在此基础上,进行数据库及表结构的设计,通过编写代码、构建模型,完成平台的开发。在网站测试阶段,通过大量实际数据进行验证,证实了平台代码和交易成功率功能的有效性。 这种基于农村用户需求开发的网站,具有较好的针对性、易用性和普适性,平台完善后可在全国县域范围内进行推广。
[Abstract]:On the premise that there are already a large number of agricultural products information websites in China, the phenomenon of "hard to buy and buy expensive" agricultural products still occurs frequently, indicating that these websites have not played a role in application. The reason lies in the fact that these websites have failed to find out the real demand of rural users for agricultural products information. This study is based on the rural areas, starting from the analysis of the needs of the users in the county area, and constructs an agricultural product trading information platform for the category of products in the county area. In order to alleviate the agricultural product circulation dilemma caused by information asymmetry (or information flooding), serve the local rural economic development. This paper first analyzes the current situation of the research on the subject of the county agricultural product trading information platform at home and abroad. Then, proceeding from the actual needs of the users in the county area, the paper makes a thorough and detailed demand analysis and module design. The platform mainly includes three functional modules: agricultural product information, price trend and agricultural product trading success rate calculator. Among them, price information related to the agricultural products category in the county area is automatically collected using focused crawler technology. The collected data are processed to form the information and price trend in the form of graphics and text, while the transaction success rate calculator calculates the transaction rate of a certain product by establishing a complicated mathematical model. The database and table structure are designed, and the platform is developed by coding and modeling. In the testing stage of the website, the validity of the platform code and the function of trading success rate is verified by a large number of actual data. This kind of website based on the demand of rural users has better pertinence, ease of use and universality, and the platform can be popularized in the county area of the whole country after the completion of the platform.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F323.7;TP393.092

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