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A development of online database system for rubber tree leaf diseases

机译:橡胶树病在线数据库系统的开发

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This paper presents a database system of the rubber tree leaf diseases which compiled into a Personal Home Page (PHP) script and using Structured Query Language (MySQL). In this work, there are three selected diseases that can be identified using this database system which are Corynespora Leaf Spot, Bird's Eye Spot and Collectrotichum Leaf Disease. Initially, the information of Region of Interest (ROI) from each of these three types of diseases based on Red, Green and Blue (RGB) color model from previous experiments will be taken as the input to the database system. By using PHP, a server-side language which sends Web pages to requesting visitors (you, the client, with your Web browser). When a visitor goes to a website written in PHP, the server reads the PHP code and then processes it according to its scripted directions. The client also able to fill in the data through the system online and the database system output will identify the diseases based on user data input. The purpose of development of this system is to help new users to identify the types of rubber tree leaf diseases whereby it is consists of data collection, stored and kept organized by the Database Management System. Therefore, by using the database system, this may assist the client on identifying the diseases by comparing their records with the available information. While the advantage of this system is it may help new users to study the characteristics of the diseases without referring to the expertise since the information is consists of sample of images and its symptoms.
机译:本文介绍了橡胶树病的数据库系统,该数据库系统已编译为个人主页(PHP)脚本并使用结构化查询语言(MySQL)。在这项工作中,可以使用此数据库系统识别出三种选定的疾病,分别是Corynespora叶斑病,鸟瞰斑病和Collectrotichum叶病。最初,将基于先前实验中基于红色,绿色和蓝色(RGB)颜色模型的这三种类型疾病中每种疾病的感兴趣区域(ROI)信息作为数据库系统的输入。通过使用PHP,这是一种服务器端语言,可将网页发送给发出请求的访问者(您,即客户端,使用Web浏览器)。当访问者访问用PHP编写的网站时,服务器将读取PHP代码,然后根据其脚本说明对其进行处理。客户还能够通过系统在线填写数据,数据库系统输出将根据用户数据输入来识别疾病。开发该系统的目的是帮助新用户识别橡胶树病的类型,该系统由数据库管理系统收集,存储和保持的数据组成。因此,通过使用数据库系统,这可以通过将病历与可用信息进行比较来帮助客户识别疾病。尽管该系统的优势在于它可以帮助新用户研究疾病的特征而无需参考专业知识,因为该信息包括图像及其症状的样本。

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