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http://repository.ipb.ac.id/handle/123456789/67153
Title: | Identifikasi Hama Ulat Kubis Menggunakan Transformasi Wavelet dengan Klasifikasi Probabilistic Neural Network |
Authors: | Herdiyeni, Yeni Kiswanto., Dedy |
Issue Date: | 2013 |
Abstract: | This research proposes a method for moth pests identification using wavelet transformation and Probabilistic Neural Netwok (PNN). Wavelet transformation method is used to get image features. This study focused on 3 types of moth pests that Crocidolumia binotalis zeller, Spodoptera exigua (Hubner), and Spodoptera litura F. To get the best performance of classifier was analyzed by confussion matrix and k-fold cross validation with k = 5. Result for identification of moth pests diamondback in this study showed an average accurancy of 80.74%. This result shows that the wavelet transformation and classifier Probabilistic Neural Network can be applied for the identification of cabbage caterpillar pests |
URI: | http://repository.ipb.ac.id/handle/123456789/67153 |
Appears in Collections: | UT - Computer Science |
Files in This Item:
File | Description | Size | Format | |
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G13dki.pdf Restricted Access | full text | 2.42 MB | Adobe PDF | View/Open |
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