Classification of Rice Leaf Diseases Based onMorphological Changes

Abstract

Rice is widely cultivated economical crop in the world. During cultivation the earliest and accurate diagnosis of the rice plant diseases able to reduce the damage, resulting environment protection and better return. In the work, an automated system has been developed to classify the leaf brown spot and the leaf blast diseases of rice plant based on the morphological changes of the plants caused by the diseases. Radial distribution of the hue from the center to the boundary of the spot images has been used as features to classify the diseases by Bayes' and SVM Classifier. The system has been validated using 1000 test spot images of infected rice leaves collected from the field, gives 79.5% and 68.1% accuracies for Bayes' and SVM Classifier based system respectively.

A Multiclass Deep Convolutional Neural Network Classifier for Detection of Common Rice Plant Anomalies

“…Phadikar et al [12] is also a study featuring use of Support Vector Machines. However, the proposed system has two (2) stages: first, detection of disease is accomplished through histogram characterization; and second, either a Bayes" or SVM algorithm is applied.…”

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.…”

“…Mean Filter: -The mean filter is a simple spatial filter which acts on an image by smoothing it. This filter used on Rice [15] leaf images. ii.…”

“…These spatial features are indicating pixel relationship based on gray scale intensity and orientation. Formulas of all statistical features (equations [15][16][17][18][19][20][21][22] are discussed below [33], [34] .…”

“…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. Color transformation of RGB leaf image is created and then a device independent color space transform is applied [20] .…”