Automated fruit grading system using image processing

This paper describes the operations and performance of an automated quality verification system for agricultural products and its main features. The system utilizes improved engineering designs and image-processing techniques to convey and grade products. Basically two inspection stages of the system can be identified: external fruit inspection and internal fruit inspection. Surface inspection is accomplished through processing of color CCD images while internal inspection employs special sensors for sugar and acid content. An X-ray sensor is incorporated to detect biological defects.

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