Aplikasi Mobile Identifikasi Penyakit Daun Kubis dengan Fast Fourier Transform dan Probabilistic Neural Network

dc.contributor.advisor	Herdiyeni, Yeni
dc.contributor.advisor	Rauf, Aunu
dc.contributor.author	Trio, Alrasyid
dc.date.accessioned	2014-04-11T03:21:03Z
dc.date.available	2014-04-11T03:21:03Z
dc.date.issued	2014
dc.identifier.uri	http://repository.ipb.ac.id/handle/123456789/68532
dc.description.abstract	Disease in cabbage leaves can lead to a decrease in the quality and quantity of crop yields or crop failure. The purpose of this research is to develop a mobile application by applying the Fast Fourier Transform feature extraction technique and Probabilistic Neural Network classification technique to identify the cabbage leaf disease. This mobile application runs on android platform. It is found that the accuracy of FFT feature extraction and PNN classification with bias 0.03 is 58.33%. The obtained accuracy is still not satisfactory since there are some errors in identifying the cabbage leaf disease	en
dc.language.iso	id
dc.title	Aplikasi Mobile Identifikasi Penyakit Daun Kubis dengan Fast Fourier Transform dan Probabilistic Neural Network	en
dc.subject.keyword	Probabilistic Neural Network	en
dc.subject.keyword	Fast Fourier Transform	en
dc.subject.keyword	Cabbage leaf disease	en