CLASSIFICATION OF FOOD GRAINS USING CLUSTERING ALGORITHMS

Abstract

Image processing nowadays plays a vital role in automation in several domains like medical science, remote sensing, agriculture, environmental science, special science etc. In this paper, we present a survey of grading the agricultural products using image processing. A model for the automatic grading of food products is suggested by analyzing their quality. Quality is checked and analyzed using the classification and clustering algorithms. Neural network and image processing algorithms are becoming prominent in the field of agriculture. So we have proposed a model to detect the type of deficiencies in the food products with the help of image processing algorithms. The essential features such as shape, size, color, texture and mass are used to grade the quality of the products.