Classification of different types of rice is carried out in this study using metaheuristic classification approaches.13 different rice samples are considered. Images of milled rice are acquired using a computer vision system. Feature Extraction methods are used to extract fifty seven features including five shape and size features, forty eight color features and four texture features from color...

Background and objectives The production of precooked rice has mainly been applied to long varieties, while japonica varieties are significantly less represented, especially Spanish varieties. aim this paper was model the water mass flow process in round-shaped (Bahía-Senia) for soaking (Peleg model) drying phases (drying by hot air combined microwaves, Fick, Midili, Page models). Optical mecha...

Principal component analysis (PCA) is a classical statistical method. It is based on the statistical representation of a random variable. This linear transform has been widely used in data analysis and compression.Impact of PCA is affecting the research work in now a days in the various field like application of Image Processing, pattern recognition ,Neural network and etc . We know that rice i...