The optimal image processing for paddy studies : Variety classification and rice kernel damage inspection

Abstract

This research report is manipulated that summarized the moment of research project in the subject of “The optimal image processing for paddy studies: Variety classification and rice kernel damage inspection”. This project had been take time in 12 mounts. We focused on rice variety classification and rice kernel damage inspection. We also investigated the apparent friction of rice surface. Results showed that area and size were the quantities that have the potential to classify rice variety and also rice kernel damage inspection. In addition, we also found that geometric mean diameter performed characteristic to apparent friction of rice surface in kerosene. These results have the potential to be the basis information in terms of developing instrument for quality control and variety classification of cereal.