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首页> 外文会议>International Conference on Informatics and Computing >Early Identification of Leaf Stain Disease in Sugar Cane Plants Using Speeded-Up Method Robust Features
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Early Identification of Leaf Stain Disease in Sugar Cane Plants Using Speeded-Up Method Robust Features

机译：利用加速方法早期识别甘蔗植物中的叶斑病的稳健特征

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摘要

Cane (Saccharum officinarumL.) is a plant that is used as the main raw material in the sugar industry. One of the factors that can cause the reduction of sugar cane production and inhibit the development of the sugar industry is the late-diagnosed of leaf stain disease in sugarcane crops that cause crop failure. It is quite often the case because of the limited number of service facilities for communication and also the high cost to be incurred if the sugar cane entrepreneurs want to conduct the inspection process of the crop. Therefore, this study has a goal to identify leaf stain disease in sugarcane plants. This research used the image of sugar cane leaves that have stain spots as input for the image processing process using the Speeded-Up Robust Features (SURF) method. The identification process of leaf stains is divided into three types of leaf stain disease, namely ring stains, rust stains, and yellow stains. In this study, 60 images were used as preliminary data and 30 images for the testing process. Following the conducted test, it can be concluded that the early identification process of leaf stain disease in sugar cane has an accuracy rate of 90%.
机译：甘蔗（Saccharum officinarumL。）是一种植物，被用作制糖业的主要原料。导致甘蔗作物减产并阻碍制糖业发展的因素之一是对导致作物歉收的甘蔗作物的叶斑病的后期诊断。这是经常发生的情况，因为通信服务设施的数量有限，而且如果甘蔗企业家想要进行农作物的检验过程，则将产生高昂的成本。因此，该研究的目的是鉴定甘蔗植物中的叶斑病。这项研究使用了具有斑点的甘蔗叶片图像作为加速处理鲁棒特征（SURF）方法在图像处理过程中的输入。叶子污渍的识别过程分为三种类型的叶子污渍疾病，即环形污渍，铁锈污渍和黄色污渍。在这项研究中，使用60张图像作为初步数据，并使用30张图像进行测试。根据进行的测试，可以得出结论，甘蔗中的叶斑病的早期识别过程具有90％的准确率。

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