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Rice Grains Categorization using Neural Network
2019
International Journal for Research in Applied Science and Engineering Technology
Rice is one of the most important food crop consumed by all the human beings. In this paper, an algorithm is used to classify three different varieties of rice based on their features. The proposed algorithm is a supervised learning algorithm which consists of five steps. The steps include image acquisition, image segmentation, feature extraction, neural network classifier and decision making. Fifty four color features and six texture features are extracted from each rice kernel. After passing
doi:10.22214/ijraset.2019.5110
fatcat:sfcheknvmjakpn76blh26lvafe