Detection pests system for Local Mayas Rice Plant East Kalimantan using Dempster Shafer

N. Puspitasari, H. Hamdani, H. R. Hatta, Anindita Septiarini, M. Wati, Sumaini
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引用次数: 1

Abstract

Mayas rice is a variety that contributes to staple foods because it has a significant contribution to food consumption and has high genetic diversity. However, the production of Mayas rice plant is lower than other types of rice due to pest attacks and the lack of knowledge of society to identify the types of pests that hit it. Applying the Dempster-Shafer method into an expert system can be a solution for the community to find out the types of the bug found in Mayas rice plants. The data used in this study came from experts with 32 symptoms and 10 types of pests. This study shows the percentage level of possible types of pests found in Mayas rice plant based on the calculation results of the Dempster-Shafer method. The test results on the expert system are 80%, indicating that the expert system is accurate to use in detecting kinds of pests on it.
东加里曼丹马亚斯稻害虫检测系统
玛雅水稻是一个对主食有贡献的品种,因为它对食物消费有重大贡献,并且具有高度的遗传多样性。然而,由于害虫的袭击和缺乏社会知识来识别袭击它的害虫类型,玛雅水稻的产量低于其他类型的水稻。将Dempster-Shafer方法应用到专家系统中可以为社区找出玛雅水稻中发现的虫子类型提供解决方案。这项研究中使用的数据来自32种症状和10种害虫的专家。本研究显示了基于Dempster-Shafer方法计算结果的玛雅水稻中可能发现的害虫类型的百分比水平。在专家系统上的测试结果为80%,表明该专家系统能够准确地检测出其上的各种害虫。
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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