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Comparative Study of Decision Tree, K-Nearest Neighbor, and Modified K-Nearest Neighbor on Jatropha Curcas Plant Disease Identification

机译:决策树,k最近邻居和改性k最近邻近的比较研究在Joatropha Curcas植物疾病鉴定

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摘要

Jatropha Curcas is a very useful plant that can be used as a bio fuel for diesel engines replacing the coal. In Indonesia, there are few plantation that plant Jatropha Curcas. But there is so limited farmers that understand in detail about the disease of Jatropha Curcas and it may cause a big loss during harvesting when the disease occured with no further action. An expert system can help the farmers to identify the lant diseases of Jatropha Curcas. The objective of this research is to compare several identification and classification methods, such as Decision Tree, K-Nearest Neighbor and its modification. The comparison is based on the accuracy. Modified K-Nearest Neighbor method given the best accuracy result that is 67.74%.
机译:麻风树图Curcas是一个非常有用的植物,可用作更换煤的柴油发动机的生物燃料。在印度尼西亚,植物植物的种植植物植物味。但是,有限的农民对麻疹姜铁的疾病详细了解,并且在没有进一步的行动的情况下,在收获期间可能导致巨大的损失。专家系统可以帮助农民识别麻疹凝乳的含量疾病。本研究的目的是比较若干识别和分类方法,例如决策树,k最近邻居及其修改。比较基于准确性。修改后的K-最近邻方法给出了67.74%的最佳准确性结果。

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