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Identification of Diseases in Rice Plants Using the Gray Level Co-Occurrence Matrix Method

机译：灰度共发生矩阵法识别鉴定水稻植物疾病

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Rice plants (Oryza sativa, sp) are a staple food raw material that is vital for the people of Indonesia. Rice plants are included as a year / annual plant group. The management of rice plants is an innovative and dynamic approach in increasing the production and opinion of farmers through assembling technological components in a participatory manner with farmers. For this reason, appropriate technology facilities are needed that can be used by farmers in determining the type of leaf disease that bums during the growing period of rice so that it can increase production. This study aims to apply the Gray level Co-Occurrence Matrix method to produce feature values on rice leaves. Differences in the patterns of rice leaves are used by identifying each rice leaf pattern, which results in the type of leaf disease burning through the rice leaf pattern. In this study, the accuracy of this system was obtained at 72.5%.
机译：米植物（Oryza Sativa，SP）是一种针对印度尼西亚人民的主食原料。稻植物作为一年/年度植物组包括在内。水稻植物的管理是一种创新和动态的方法，越来越多的农民通过与农民的参与式方式组装技术零部件的制作和意见。出于这个原因，需要适当的技术设施，农民可以用来确定在水稻的生长期间损失的叶片疾病类型，以便它可以增加产量。本研究旨在应用灰度级共发生矩阵方法，以在稻壳上产生特征值。通过鉴定每种稻叶图案来使用水稻叶片图案的差异，这导致通过米叶图案燃烧的叶疾病的类型。在这项研究中，获得了72.5％的系统的准确性。

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