Intelligent classification model for Indian chickpea

India is one of the major chickpea-producing countries in the world. An estimate of almost 71 % of the world's chickpea production is done here. This paper presents an approach to classify Indian chickpeas using a computer vision technique. For this work image processing and eight different machine learning algorithms are used. The features considered are first of their kind. Based on these features the performance of machine learning algorithms is studied for the classification of the chickpea. Out of eight different algorithms lib Support Vector Machine and multilinear perceptron provided high accuracy of 86.07% and 84.90%.