Lokasi: Rice Seed Varieties Identification based on Extracted Colour Features using Image Processing and Artificial Neural Network (ANN)

Main Authors:	Aznan, Aimi Athirah; School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, Ruslan, Rashidah; School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, Rukunudin, Ibni Hajar; School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, Azizan, Fathin Ayuni; School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia, Hashim, Ahmad Yusuf; School of Bioprocess Engineering, Universiti Malaysia Perlis, 02600 Arau, Perlis, Malaysia
Other Authors:	Ministry of Higher Education (MoHE) for funding this research under the Fundamental Research Grant Scheme (FRGS), Universiti Malaysia Perlis (UniMAP).
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	International Journal on Advanced Science, Engineering and Information Technology , 2017
Subjects:	seed classification machine vision colour features artificial neural network rice varieties
Online Access:	http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/2990 http://insightsociety.org/ojaseit/index.php/ijaseit/article/view/2990/pdf_601

Koleksi	International Journal on Advanced Science, Engineering and Information Technology
Gedung	Indonesian Society for Knowledge and Human Development
Institusi	Indonesian Society for Knowledge and Human Development
Kota	-
Provinsi	DKI JAKARTA
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