H. Artanto, F. Arifin
Detecting disease is something that can help to determine how to cure it. Potato diseases, namely early blight and late blight, are the problem in agriculture. Both diseases have almost the same characteristics so it is difficult to recognize. The technique used by farmers only utilizes their eyesight. In addition, previous studies have mostly used the biological aspect approach. In this study utilizing Machine Learning to detect an object. The development of this application uses the training configuration used is SSD Mobilenet v1. Application test results obtained an average value of 90% can detect and distinguish the types of diseases in the potato plant. © 2021 Published under licence by IOP Publishing Ltd.
Department of Electronic and Informatics Engineering Education, Postgraduate, Yogyakarta State University, Yogyakarta, Indonesia
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