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基于django的作物生长信息统计分享平台【字数:11794】

2024-11-02 13:28编辑: www.jxszl.com景先生毕设

目录
摘要Ⅲ
关键词Ⅲ
AbstractⅣ
引言
引言1
1 综述1
1.1 国内农业信息化发展现状1
1.2 信息共享统计平台的现实意义2
1.3 选题背景4
2 用户需求分析4
2.1 需求分析与模块设计 4
2.1.1 个人账号数据管理区5
2.1.2 作物数据集管理区6
2.1.3 文章发帖管理区6
2.1.4 个人活动数据管理区7
2.1.5 留言板管理区7
2.1.6 管理员管理区 8
2.2 系统活动图 8
3 系统设计与数据库实现10
3.1 项目架构10
3.2 主要项目应用详解10
3.3 其他资源及网页模板说明14
4 信息分享平台原型系统实现14
4.1 开发部署环境15
4.2 系统功能的测试与使用15
4.2.1 用户的登陆和注册15
4.2.2 系统主页面16
4.2.3 文章管理分区16
4.2.4 个人账号数据管理19
4.2.5 留言板管理区21
4.2.6 管理员管理区22
4.2.7 Navicat数据库可视化软件下的数据表22
5 结论23
5.1 系统完成情况总结23
5.2 系统可进行的优化23
5.3 该类系统的未来展望23
致谢24
参考文献24
基于Django的作物生长信息分享统计平台
摘 要
[目的]国内目前对于农作物的生长数据的公开数据较少,为了在社会上广泛集中力量收集农作物数据,弥补目前描述精准的数据库相对较少的现状,同时顺应信息化发展,拟建立一个数据共享的小型模型以探究大数据共享互通的可能性。[方法]建立基于Django开发的作物生长信息分享统计平台作为研究模型,用户使用网站进行作物数据的上传和下载,通过对相关数据的用户评比,筛 *51今日免费论文网|www.51jrft.com +Q: #351916072
选并剔除无用数据,为有需求的社会人员提供帮助,如果经用户测试反映良好,可拓展此平台相关接口,提供更精准的数据共享服务。[结果]通过本地连接实现了平台测试,表明该平台实现的可能性大,为未来农作物大量数据共享甚至其他物件数据共享提供可能,随着平台推广范围的扩大,不同行业的数据可以实现信息交叉,对社会的进步具有促进作用。[结论]农业信息共享平台作为一种信息融合的尝试,其研究模型也可拓展至其他领域,如房屋基本信息统计,模型数据录入等等,大数据共享是全球信息化的发展趋势,该模型为未来农业信息统计的发展提供了一种便利模型,随着该模型的丰富,势必会促进农业透明化、信息化的进步。
DJANGOBASED CROP GROWTH INFORMATION SHARING STATISTICAL PLATFORM
ABSTRACT
[Objective] At present, there are few public data on the growth data of crops in China. In order to widely concentrate on collecting crop data in the society, to make up for the relatively few current descriptions of accurate databases, and to conform to the development of information, it is proposed to establish a data sharing To explore the possibility of big data sharing and interoperability. [Method] Establish a crop growth information sharing statistical platform based on Django as a research model. Users use the website to upload and download crop data. Through the user evaluation of relevant data, the useless data is filtered and eliminated to provide social personnel in need. Help, if the user test shows a good response, you can expand the relevant interfaces of this platform to provide more accurate data sharing services. [Result] The platform test is realized through local connection, which shows that the platform is likely to be realized, which provides the possibility of future largescale crop data sharing and even data sharing of other objects. With the expansion of the platform ’s promotion scope, data from different industries can realize information cross , To promote the progress of society. [Conclusion] As an attempt to integrate information, the agricultural information sharing platform can also be extended to other fields, such as housing basic information statistics, model data entry, etc. Big data sharing is the development trend of global informatization. It provides a convenient model for the future development of agricultural information statistics. With the enrichment of this model, it will inevitably promote the progress of agricultural transparency and informatization.

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