Crop Diseases Classification and Diagnosis

Abstract

Almost all over the world, the economy mainly depends on the production of food.Computer vision technology plays a pivotal role in the field of agriculture. The dream of thisresearch is to produce successful crops in the agricultural sector. Successful farming canincrease crop production in terms of both quality and quantity. Agriculture is the main element of economic growth in developing countries. Plant diseases cause major economic and production losses as well as curtailment in both quantity and quality of agricultural production. Now a days, for supervising large field of crops there has been amplified demand for plant leaf disease detection system. The critical issue here is to monitor the health of the plants and detection of the particular diseases. In this research work, Image processing is used to sense and classify crop diseases based on the texture features approach. The images are taken through a high-resolution digital camera and after preprocessing, these are then run through the various machine learning algorithms and classified based on their color and surface features. In this project basically two machine learning algorithms are used namely K-Nearest Neighbor’s, Support Vector Machine. The implementation will be done using MATLAB.