Sistem Pakar Diagnosis Hama Penyakit Tanaman Jeruk Keprok Borneo Prima (Citrus Reticulata) Dengan Fuzzy Tsukamoto

Wahyuni Eka Sari, Annafi’ Franz, Nikita Valentine
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Abstract

Borneo Prima Citrus (Citrus Reticulata) is a monoculture commodity that is susceptible to pests or diseases. The role of an expert is constrained by the fact that expert knowledge is not well documented, the detection process is still manual and expensive, and the distance between agricultural extension workers and plantation sites is far. This problem can be solved by an expert system. The Fuzzy-Tsukamoto method is suitable for solving citrus disease diagnosis problems which have many rules with several symptoms that can represent several diseases. Fuzzy Tsukamoto applies monotonous reasoning to each rule. If in monotonous reasoning, the system only has one rule, in the Tsukamoto method the system consists of several rules. Because it uses the basic concept of monotonous reasoning, in Fuzzy-Tsukamoto's method, every consequence of the IF-THEN rule is represented by a fuzzy set on a monotonic membership function. There were 13 citrus trees indicated to be infected with the disease, which was observed from 500 trees. The accuracy of the results obtained between the expert system and expert knowledge is 84% of 13 diseases and 36 symptoms. The result shows that there are two diseases that are not suitable and 11 diseases according to experts.
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婆罗洲初级柑橘(Citrus Reticulata)是一种易受病虫害影响的单一品种商品。专家的作用受到以下事实的限制:专家知识没有很好地记录,检测过程仍然是手工的和昂贵的,农业推广工作者和种植园地点之间的距离很远。这个问题可以由专家系统来解决。模糊-冢本方法适用于解决柑橘病害诊断中具有多规律、多症状、可代表多种病害的问题。模糊冢本对每条规则都进行了单调的推理。如果在单调推理中,系统只有一条规则,那么在冢本方法中,系统由多条规则组成。由于使用了单调推理的基本概念,在fuzzy - tsukamoto方法中,IF-THEN规则的每一个结果都用单调隶属函数上的模糊集表示。从500棵柑橘树中观察到13棵柑橘树感染了该病。在13种疾病和36种症状中,专家系统与专家知识之间获得的结果准确率为84%。结果显示,专家认为不适宜种植的疾病有2种,不适宜种植的疾病有11种。
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审稿时长
12 weeks
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