Paddy grade and dirt classification using image processing techniques

Recently digital image processing techniques has been widely used in various applications of computer vision. A variety of other techniques are now being used in many application areas such as object classification, robotics, biometric system, image enhancement, image restoration and human interface. This paper introduces paddy grade classification and dirt inspection system using combination of image processing techniques [1]. This work mainly focuses on the development of the grading system for paddy classification. Paddy grade classification algorithm and dirt classification algorithm [2] has achieved a classification accuracy between 80% and 90% and the system was also able to determine the cleanliness or dirtiness of paddy.