MACHINE VISION GUIDED SYSTEM FOR CLASSIFICATION AND DETECTION OF MANGO PLANT DISEASES USING SUPPORT VECTOR MACHINES.

摘要

The present invention provides new and improved method and arrangements for machine vision guided system for classification and detection of Mango plant diseases using support vector machines. A method for automatic disease classification and detection of diseases like Anthracnose, bacterial canker, bacterial leaf spot, gall flies, powdery mildew, red rust etc on leaf of mango plant comprising of steps like capturing the image, converting into digital form, reshaping the data into matrix form, Color balancing the RGB planes, obtaining Y Cb Cr for image, identifying and removal of green color, Segmentation, Calculating a unique feature vector, classification based on SVM. The system and method for automatic disease classification and detection of diseases on mango plant is described in the description and illustrated by the way of drawings. The invention also comprises software for computer readable program that automates a process of disease classification and detection of diseases on leaf of mango plant for digital images obtained from a digital photography device.