摘要

随着我国农业现代化的不断推进，农产品销售市场变得越来越重要。然而，由于市场信息不对称、销售渠道单一等问题，农产品销售中仍存在许多困难和挑战。为了解决这些问题，本文设计并实现了一套基于大数据技术的农产品销售系统。

该系统采用Java语言开发，使用SSM框架进行搭建，并采用MySQL数据库进行数据存储。通过对大量的农产品销售数据进行分析和处理，系统可以提供精准的销售预测和推荐服务，为农产品生产者和销售者提供更加科学、高效的销售决策支持。本文主要包括系统需求分析、系统设计、系统实现和系统测试等几个方面的内容。在系统实现方面，本文使用了基于Hadoop的分布式数据处理技术，实现了数据的采集、存储和分析等功能。同时，本文还针对系统的性能和稳定性进行了充分的测试和优化，保证了系统的高效运行和可靠性。

本文基于大数据技术，设计并实现了一套农产品销售系统。该系统采用Java语言开发，使用SSM框架进行搭建，并采用MySQL数据库进行数据存储。通过对大量的农产品销售数据进行分析和处理，系统可以提供精准的销售预测和推荐服务，为农产品生产者和销售者提供更加科学、高效的销售决策支持。本文主要包括系统需求分析、系统设计、系统实现和系统测试等几个方面的内容。在系统实现方面，本文使用了基于Hadoop的分布式数据处理技术，实现了数据的采集、存储和分析等功能。同时，本文还针对系统的性能和稳定性进行了充分的测试和优化，保证了系统的高效运行和可靠性。最后，本文对系统的优缺点进行了分析和总结，并对未来的研究方向提出了建议。

关键词：农产品超市；农产品商城；农产品销售系统；SSM；Java

Abstract

With the continuous advancement of China's agricultural modernization, the agricultural products sales market has become more and more important. However, due to the market information asymmetry, single sales channel and other problems, there are still many difficulties and challenges in the sales of agricultural products. To solve these problems, this paper designs and implements a sales system of agricultural products based on big data technology.

The system is developed in Java language, built using the SSM framework, and uses MySQL database for data storage. Through the analysis and processing of a large number of agricultural product sales data, the system can provide accurate sales forecast and recommendation services, and provide more scientific and efficient sales decision support for the producers and sellers of agricultural products. This paper mainly includes system requirements analysis, system design, system implementation and system test. In terms of system implementation, this paper uses the distributed data processing technology based on Hadoop to realize the functions of data collection, storage and analysis. At the same time, this paper also fully tests and optimizes the performance and stability of the system to ensure the efficient operation and reliability of the system. Based on the big data technology, this paper designs and realizes a set of agricultural products sales system.

The system is developed in Java language, built using the SSM framework, and uses MySQL database for data storage. Through the analysis and processing of a large number of agricultural product sales data, the system can provide accurate sales forecast and recommendation services, and provide more scientific and efficient sales decision support for the producers and sellers of agricultural products. This paper mainly includes system requirements analysis, system design, system implementation and system test. In terms of system implementation, this paper uses the distributed data processing technology based on Hadoop to realize the functions of data collection, storage and analysis. At the same time, this paper also fully tests and optimizes the performance and stability of the system to ensure the efficient operation and reliability of the system. Finally, this paper analyzes and summarizes the strengths and weaknesses of the system and makes suggestions for future research directions.

Key words: agricultural products supermarket; agricultural products mall; agricultural products sales system; SSM; Java

目 录

1  绪论

1.1研究背景及意义

1.1.1研究背景

1.1.2研究意义

1.2国内外研究现状

1.2.1国内研究现状

1.2.2国外研究现状

1.3 论文的主要结构

2  系统设计工具介绍

2.1 平台选择

2.2 系统开发工具

2.2.1 开发语言—JSP

2.2.2 数据库—MySQL

3  需求分析

3.1 水果农产品销售系统的现状

3.2 可行性分析

3.3 系统实现的目标

3.4 系统功能需求

3.4.1 功能概述

3.4.2 功能描述

3.4.3 功能用例

4  系统设计

4.1 项目规划

4.1.1 系统功能结构图

4.1.2 处理流程

4.2 系统设计

4.2.1 设计目标

4.2.2 系统开发环境

4.3 数据库设计

5  系统实现

5.1 系统各部分的实现方法

5.1.1 创建与数据库的连接

5.1.2 访问数据库的JavaBean

5.2 网站前台设计

5.2.1前台框架设计

5.2.2 网站首页

5.2.3 产品详情页

5.2.4 评价

5.3网站后台设计

5.3.1 后台主页

5.3.2 后台评价管理 29

5.3.3 水果管理

5.3.4 水果信息修改

5.3.5 水果分类管理

5.3.6 订单管理

5.3.7 购物车管理

6 系统测试

6.1 测试环境简介

6.2 系统的不足及修改方法

6.3 系统的评价分析

6.3.1 实用性

6.3.2 可维护性

6.3.3 可扩展性

结  论

参考文献

致  谢