Title : 
A statistical approach for orchid disease identification using RGB color
         
        
            Author : 
Tuhid, Nurul Hidayah ; Abdullah, Noor Ezan ; Khairi, N.M. ; Saaid, M.F. ; Shahrizam, M.S.B. ; Hashim, Hadzli
         
        
            Author_Institution : 
Fac. of Electr. Eng., Univ. Teknol. MARA, Shah Alam, Malaysia
         
        
        
        
        
        
            Abstract : 
This paper presented a statistical approach for recognition of orchid diseases using RGB color analysis. As for features, the scale infection and black leaf spot disease of the orchid have been chosen in this study. Orchid plant with these two category disease samples were taken from a local home orchid collector and captured using digital camera in a controlled environment. The RGB components are extracted as features and statistical analysis specifically error plot and T-Test are utilized for differentiation between orchid either with scale or black leaf spot disease. Initial findings showed that the proposed method is capable to differentiate these two category diseases.
         
        
            Keywords : 
botany; diseases; feature extraction; image colour analysis; statistical analysis; RGB color analysis; RGB components; T-Test; black leaf spot disease; controlled environment; digital camera; error plot; feature extraction; local home orchid collector; orchid disease identification; orchid diseases recognition; scale infection; statistical approach; Calibration; Control systems; Data mining; Diseases; Feature extraction; Image color analysis; Statistical analysis; RGB color; image; orchid diseases; signature; statistical approach;
         
        
        
        
            Conference_Titel : 
Control and System Graduate Research Colloquium (ICSGRC), 2012 IEEE
         
        
            Conference_Location : 
Shah Alam, Selangor
         
        
            Print_ISBN : 
978-1-4673-2035-1
         
        
        
            DOI : 
10.1109/ICSGRC.2012.6287196