Automatic grading of potatoes with fuzzy logic

In manual grading, an expert person has to keep in mind each and every characteristic of fruit for grading. More time and cost is required for manual grading of fruits. Most of the existing systems work on individual parameters like color, shape, and size. Captured image and database image gives grading output by comparison. The proposed system is implemented for potato grading by combining different parameters like shape, size, percentage of deficiency and weight. The proposed system is real-time image processing. Potato image is properly captured by a camera and processed by image processing chamber. The system gives 1-D image parameter detection for grading of potatoes. Shape, size, percentage of deficiency and weight are calculated. Knowledge base fuzzy rules are designed. The system is automatic grading of potatoes, to overcome manual grading. The system reduces time and cost required for manual grading. The system gives the better result as compared with manual grading. By using computer vision and fuzzy logic, faster grading of potatoes is achieved.