用贝叶斯方法诊断木薯植物病害类型

IF 0.5 Q4 COMPUTER SCIENCE, THEORY & METHODS

JOURNAL OF INTERCONNECTION NETWORKS Pub Date : 2020-02-14 DOI:10.15575/JOIN.V4I2.379

Agung Purnomo Sidik

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引用次数: 1

摘要

本研究是为了在专家系统中实现贝叶斯算法来诊断木薯植物的病害类型。研究数据取自2018年滨江市农林水产厅。专家系统是基于web构建的，其中应用程序是使用PHP编程语言和MySQL数据库系统构建的。结果表明，贝叶斯算法可用于木薯植物病害类型的专家系统诊断。在贝叶斯算法中，知识库取自木薯患病植株的数据量，因此对木薯植株的诊断结果是基于已有的数据。因此，作为知识库的患者数据越多，给出的诊断结果越好。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Diagnosis of Types of Diseases in Cassava Plant by Bayes Method

This research was conducted to implement the Bayes algorithm in an expert system to diagnose types of diseases in cassava plants. The research data was taken from the Binjai City Agriculture and Fisheries Office in 2018. The expert system was built based on the web, where the application was built using the PHP programming language and MySQL DBMS. The results showed that the Bayes algorithm can be used in expert system applications to diagnose types of cassava plant diseases. In the Bayes algorithm, the knowledge base is taken from the data of the amount of data from cassava plants that suffer from disease, so the results of diagnosing cassava plants are based on existing data. Therefore, the more patient data that is used as a knowledge base, the better the diagnosis results are given.

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来源期刊

JOURNAL OF INTERCONNECTION NETWORKS COMPUTER SCIENCE, THEORY & METHODS-

自引率

14.30%

发文量

121

期刊介绍： The Journal of Interconnection Networks (JOIN) is an international scientific journal dedicated to advancing the state-of-the-art of interconnection networks. The journal addresses all aspects of interconnection networks including their theory, analysis, design, implementation and application, and corresponding issues of communication, computing and function arising from (or applied to) a variety of multifaceted networks. Interconnection problems occur at different levels in the hardware and software design of communicating entities in integrated circuits, multiprocessors, multicomputers, and communication networks as diverse as telephone systems, cable network systems, computer networks, mobile communication networks, satellite network systems, the Internet and biological systems.