Rice Grains Categorization using Neural Network

Dr. C V lu Narasimhu
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
more » ... hese features to feed forward neural network, it identifies and counts the different types of rice kernels and displays the result. The overall classification accuracy rate is 98%.
doi:10.22214/ijraset.2019.5110 fatcat:sfcheknvmjakpn76blh26lvafe