基于案例的推理方法在戈帮街道拉帕拉PT油棕植物病害诊断中的应用

Hafizah Husna, Hotler Manurung, Arnes Sembiring
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引用次数: 1

摘要

在过去的五年中,计算机的发展非常迅速。这可以从社区拥有的计算机数量上看出,这些计算机具有各种复杂程度和功能,以及可以破坏用户的信息系统。可以考虑的一个应用领域是诊断油棕植物病害。RAPALA Kec油棕植物病害诊断的难点。当油棕厂受到病害侵袭时,想要采取预防或治疗行动时,经常会发生葛邦,因为旧的诊断系统由于专家有限而使运行绩效的质量有所欠缺。将专家系统应用于油棕植物病害诊断中,希望能使现场工作人员更容易快速诊断油棕植物病害,而不必等待专家。本系统采用PHP My Admin编程软件,MySQL作为数据库进行设计。本研究的结果是使用Case Based Reasoning方法对油棕植物进行疾病诊断的过程,设计从输入症状数据开始,然后系统根据Case Based Reasoning方法计算诊断结果并以报告的形式显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application Case Based Reasoning Method In Diagnosing Oil Palm Plant Diseases At PT Rapala, Gebang Sub-District
In the last five years, the development of computers is very rapid. This can be seen from the number of computers owned by the community, with various sophistication and features and information systems that can spoil its users. One area of application that can be considered is the field of diagnosing oil palm plant diseases. Difficulties in diagnosing oil palm plant diseases at PT. RAPALA Kec. Gebang often occurs when you want to take preventive or curative action when an oil palm plant is attacked by a disease, because the old diagnostic system is due to limited experts so that the quality of operational performance is lacking. With the application of an expert system in diagnosing oil palm plant diseases, it is hoped that it will make it easier for field workers to diagnose oil palm plant diseases quickly without waiting for experts. This system is designed using PHP My Admin programming software and MySQL as database. The result of this study is the process of diagnosing diseases in oil palm plants using the Case Based Reasoning method where the design begins with entering symptom data, then the system calculates the diagnostic results according to the Case Based Reasoning method and displays it in the form of a report.
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