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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Abrham Debasu Mengistu
Bahir Dar Institute of Technology

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An Automatic Coffee Plant Diseases Identification Using Hybrid Approaches of Image Processing and Decision Tree Abrham Debasu Mengistu; Seffi Gebeyehu Mengistu; Dagnachew Melesew Alemayehu
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp806-811

Abstract

Coffee Leaf Rust (CLR), Coffee Berry Disease (CBD) and Coffee Wilt Disease (CWD) are the three main diseases that attack coffee plants. This paper presents the identification of these types diseases using hybrid approaches of image processing and decision tree. The images are taken from Southern Ethiopia, Jimma and Zegie. In this paper backpropagation artificial neural network (BPNN) and decision tree had been used as techniques; a total of 9100 images were collected. From these, 70% are used for training and the remaining 30% are used for testing. In general, 94.5% accuracy achieved when decision tree and BPNN with tanh activation function are combined.
Co-Authors Dagnachew Melesew Alemayehu Seffi Gebeyehu Mengistu