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Classification of RSS (Ribbed Smoke Sheet) Based on Presence or Absence of Fungus using the NN (Neural Network) Perceptron Method

机译:使用神经(神经网络)感知器方法根据真菌的存在或不存在对RSS(带肋烟片)进行分类

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Indonesia is an exporter of natural rubber. One type of processed rubber used as export material is a sheet of smoked rubber or Ribbed Smoked Sheets (RSS) rubber. The quality of Ribbed Smoked Sheets greatly affects the increase in rubber exports. The quality of Ribbed Smoked Sheets has been stipulated in SNI 06-001-1987 and the International Standards of Quality and Packing for Natural Rubber Grades (The Green Book). The process of determining the quality of Ribbed Smoked Sheets is also called the sorting process. However, in some rubber plantations, the process of sorting is still done manually by observing the presence or absence of mold on the surface of the Ribbed Smoked Sheets in plain sight so as to produce inaccurate and subjective qualities. Therefore, this study is intended to carry out a classification process based on the presence of mold on the Ribbed Smoked Sheets automatically. This research uses image processing with rubber sheet image as input and classification results as output. The classification process of Ribbed Smoked Sheets uses the Neural Network Perceptron method with two classifications, namely moldy Ribbed Smoked Sheets and non-moldy Ribbed Smoked Sheets. This study uses 1000 pieces of Ribbed Smoked Sheets images as training data and 50 images of smoke rubber sheet as test data, each test has 100 pieces with an accuracy value of 96% with the best epoch value on the 4th epoch
机译:印度尼西亚是天然橡胶的出口国。用作出口材料的一种经过加工的橡胶是一片烟熏橡胶或罗纹烟熏薄片(RSS)橡胶。带肋烟熏板的质量极大地影响了橡胶出口的增长。 SNI 06-001-1987和天然橡胶牌号的质量和包装国际标准(绿皮书)已规定了带肋烟熏板的质量。确定带肋烟熏薄片的质量的过程也称为分拣过程。但是,在某些橡胶园中,仍然通过人工观察分类肋骨烟片表面上是否存在霉菌来手动进行分选过程,从而产生不准确和主观的质量。因此,本研究旨在根据带肋烟熏板上是否存在霉菌自动进行分类过程。本研究使用以橡胶片图像为输入,分类结果为输出的图像处理。带肋烟熏板的分类过程使用神经网络感知器方法进行两种分类,即发霉的带肋烟熏板和不带粘性的带肋烟熏板。本研究使用1000张带肋烟熏片图像作为训练数据,并使用50张烟熏橡胶片图像作为测试数据,每个测试有100片,其准确度值为96%,第4个时期的最佳时期值

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