Qualitative texture analysis on detection of plant disease

Maladies to plants have a major impact on both productivity and the economy. To improve agricultural outputs, early identification and treatment of plant diseases are essential. Image analysis is used to detect and categorise a variety of bacterial and fungal capsicum diseases. Using the k-means clustering method, the contaminated region of the capsicum is located, and subsequently, the texture, i.e., GLCM characteristics, are eliminated. Various bacterial and fungal capsicum infections may be characterised by these characteristics (SVM). The KNN and SVM classifiers outperform the tree and linear discriminant classifiers in our application. The technique effectiveness was verified on 62 imageries of healthy and contaminated capsicum and leaf specimens.