I-PEDIA: Aplikasi Mobile untuk Identifikasi Penyakit Tanaman Padi dengan Fuzzy Entropy dan Probabilistic Neural Network

dc.contributor.advisor	Herdiyeni, Yeni
dc.contributor.author	Kholis
dc.date.accessioned	2013-12-27T07:21:38Z
dc.date.available	2013-12-27T07:21:38Z
dc.date.issued	2013
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/66573
dc.description.abstract	This research developed a mobile application for paddy plant disease identification system using fuzzy entropy and classifier probabilistic neural network (PNN) that runs on mobile. Paddy plant diseases is one of the problems on increasing paddy production. Fuzzy entropy is used for image feature extraction. PNN is used because training PNN is fast. Training data and testing data divided by k-fold cross validation with a k value of 5. Before training data and testing data are extracted, the images are enhanced using the Laplacian filter. The accuracy of paddy diseases identification without the Laplacian filter is 91.46% while accuracy of paddy diseases identification using the Laplacian filter is 90.55%.	en
dc.language.iso	id
dc.title	I-PEDIA: Aplikasi Mobile untuk Identifikasi Penyakit Tanaman Padi dengan Fuzzy Entropy dan Probabilistic Neural Network	en
dc.subject.keyword	k-fold cross validation	en
dc.subject.keyword	paddy plant disease	en
dc.subject.keyword	probabilistic neural network	en
dc.subject.keyword	fuzzy entropy	en