The enhanced content based image retrieval system and classification of infected vegetables

Abstract

Vegetables play a major role in Indian agriculture by providing economic viability, nutritional security, and fit well into the predominant intensive cropping systems prevailing in different parts of our country. To develop technologies that enhance quality and productivity of vegetables and solve increasing biotic and abiotic diseases is the major challenge in vegetable research. The vegetable disease identification and classification is the most important and catching attention research topic in the agriculture science. Image processing is the most suitable and best tool for classification and retrieval system. The Proposed work is to retrieve and classify the various types of infected and non-infected vegetable image. Searching the vegetable image from the large database for the analysis of the quality is difficult to defeat this Content-Based Image Retrieval (CBIR) system is introduced. A novel approach of CBIR system is used in the vegetable images by using feature extraction techniques. In classification of the infected vegetables is done through the process of feature extraction and classification. The final results shows for enhanced system of five types of vegetables like carrot, potato, bell pepper, Cabbage and tomato, Area of Infection of infected vegetable, and performance analysis of Infected/Non-infected vegetables.