Application of Support Vector Machine for Detecting Rice Diseases Using Shape and Color Texture Features

An Image Processing Approach for Detection, Quantification, and Identification of Plant Leaf Diseases -A Review

“…Otsu's method is mostly applied on 'I' plane of HIS color space [6] . With few exception, such as the application of the method on 'H' plane [15] or on all planes in the transformed color space [14] . Also, Otsu's method is applied to Y1 &Y2 color space representation [14] of the color leaf image of the rice crop.…”

“…Y1Y2 color space: -The captured image can be transformed to Y1 & Y2 representation Qing Yao et al [14] where Y1 & Y2 represented two color functions defines in below equations 4-5.…”

“…The long axis length and short axis length of MER represented the length (l) and width (w) of the diseased spot. The shape feature including rectangularity, compactness, elongation, and roundness were calculated using area, perimeter, MER, of the diseased spot found in rice leaf image by Qing Yao et al [14] . Lesion shape and lesion color feature of disease spot has also been used in the detection of disease in paddy leaves.…”

“…So, this method is easy to implement for smoothing images. A 3*3 rectangle window is applied on the Rice leaf image [14] . iii.…”

“…d) Diseases Due To insects: e.g. White flies Leaf insects [10] e) Leaf Crumple, Red Spots [11] Ground Nut iron, zinc and magnesium deficiencies [12] Maize Gray spot & common rust disease [13] Rice Brown-Spot Disease (BSD), Blast Disease (BD), and Narrow Brown-Spot Disease (NBSD) [14], [15] Sugarcane Fungi-caused brown spot disease [16] Tomato Tomato Early Blight, Late Blight Septoria Leaf Spot [17] Other Early scorch, Cottony mold, ashen mold, late scorch, tiny whiteness [18] II. IMAGE ACQUISITION PHASE The leaf images are captured through the camera such as Nikon camera P510 [19] , Nikon Cool pix L20 [20] , Nikon Cool pix P4 [15] .This image is stored in RGB (Red, Green & Blue) form.…”