Predictive Model for the Grading of Walnut Kernels by applying AdaBoost Classifier
Journal Title: International Journal of Emerging Technologies in Computational and Applied Sciences - Year 2016, Vol 17, Issue 1
Abstract
AdaBoost classifier is one of the most widely used and accurate ensemble classifier. In this paper, a robust predictive model has been framed with the help of machine learning algorithms, for the grading of walnut kernels based on color. Extra light, light, light amber and amber color components of the walnut kernels were determined for classification of walnut kernels. With the help of AdaBoost, classification of walnut kernel grading was done and the results were promising.
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