Apply image processing to measure the moisture content of rice kernel

Abstract

The moisture content of rice is importance before storage, because the water content has directed affect to rice damage (when store in high moisture content) and the piece is decease. The sample of this study was used Thai Hom Mali 105 long grain rough rice, were condition moisture content six levels 11-21 MC% (wet basis). For measurement the moisture content of rice, which is direct and indirect method, the standard method is hot air oven but time consuming. In this study aims to apply the image processing to determine the moisture content of rice kernel, the image processing is nondestructive and fast methods for measuring. The color extracting of rice kernel by RGB, HSV and L*a*b* color, then calculate color, classify with correlation between color and MC%. The result shows that L* and G color were high correlation with R² =0.95, and 0.94, that mean the image processing method can apply to measure the moisture content of rice kernel.