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http://repository.ipb.ac.id/handle/123456789/48271
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DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Herdiyeni, Yeni | |
dc.contributor.author | Alfarisi, Beni Said | |
dc.date.accessioned | 2011-07-15T06:15:57Z | |
dc.date.available | 2011-07-15T06:15:57Z | |
dc.date.issued | 2011 | |
dc.identifier.uri | http://repository.ipb.ac.id/handle/123456789/48271 | |
dc.description.abstract | Plant diseases can result in death and decreased quality and quantity of agricultural products that are economically significant to cause losses for farmers. This research proposes a new system to identify plant disease automatically based on plant leaf image. Fast Fourier Transform (FFT) and Local Binary Patterns (LBP) are used to extract the features. There are nine features had been resulted by FFT i.e. mean, variance, different value of maximum and minimum levels, different value of maximum and mean levels, standard deviation, skewness, kurtosis, entropy, and the highest pixel value. Then these features are combined and classified using Probabilistic Neural Network. The result shows us that these features can be used to identify plants disease, best accuracy to indentify plants disease is 85.56%. The proposed system is promising since it is capable to identify disease plants species efficiently and accurately. | en |
dc.publisher | IPB (Bogor Agricultural University) | |
dc.subject | Bogor Agricultural University (IPB) | en |
dc.subject | fast fourier transform | en |
dc.subject | local binary patterns | en |
dc.subject | probabilistic neural network | en |
dc.title | Identifikasi penyakit tanaman menggunakan fast fourier transform dan local binary pattern dengan probabilistic neural network (studi kasus tanaman Anthurium dan padi) | en |
Appears in Collections: | UT - Computer Science |
Files in This Item:
File | Description | Size | Format | |
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Abstract_ G11bsa.pdf Restricted Access | Abstract | 361.97 kB | Adobe PDF | View/Open |
BAB I Pendahuluan_ G11bsa.pdf Restricted Access | BAB I | 411.59 kB | Adobe PDF | View/Open |
BAB II Tinjauan Pustaka_ G11bsa.pdf Restricted Access | BAB II | 1.11 MB | Adobe PDF | View/Open |
BAB III Metode Penelitian_ G11bsa.pdf Restricted Access | BAB III | 672.5 kB | Adobe PDF | View/Open |
BAB IV Hasil dan Pembahasan_ G11bsa.pdf Restricted Access | BAB IV | 799.54 kB | Adobe PDF | View/Open |
BAB V Simpulan_ G11bsa.pdf Restricted Access | BAB V | 583.46 kB | Adobe PDF | View/Open |
Cover_ G11bsa.pdf Restricted Access | Cover | 365.98 kB | Adobe PDF | View/Open |
Daftar Pustaka_ G11bsa.pdf Restricted Access | Daftar Pustaka | 364.83 kB | Adobe PDF | View/Open |
G11bsa.pdf Restricted Access | Full Text | 2.41 MB | Adobe PDF | View/Open |
Lampiran_ G11bsa.pdf Restricted Access | Lampiran | 1.51 MB | Adobe PDF | View/Open |
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