Perkiraan Nilai Reflectance Berdasarkan Warna Citra Digital Menggunakan Wiener Estimation untuk Menduga Usia Tanaman Sambiloto
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Date
2013Author
Azizah, Nurul
Herdiyeni, Yeni
Heryanto, Rudi
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This research developed a system to estimate the reflectance value and to predict Sambiloto plants age (Andrographis paniculata) using Wiener Estimation and probabilistic neural networks (PNN). Sambiloto is a medicinal plant containing Andrografolide compounds. Wiener Estimation is used to estimate the sambiloto reflectance values based on RGB values. According to experimental result, Wiener transformation using 2 orde give a good estimations. PNN is used to predict Sambiloto’s age. The accuracy of Sambiloto’s age using PNN is 73.61%. Results of this research can be used by the public to know about the quality of medical plant based on the age plant.
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