ABSTRACT
This chapter aims to develop an automated carrot sorting system using machine vision technology. The system consisted of an image processing system, an image acquisition system, a roller conveyor system and a control system. The chapter seeks to develop an automated carrot grading system by designing special mechanical equipment and new algorithms to detect the majority of defects and sort the carrots by length. Carrot grading is a labor-intensive, time-consuming process and is usually performed manually. Manual inspection poses many problems in maintaining consistency and guaranteeing efficient detection. The carrot grading system consisted of an image processing system, an image acquisition system, a roller conveyor system and a control system. The image processing system handled all routines of carrot grading process such as image acquisition, image preprocessing, image segmentation and detection algorithms which were programed in C++ language to ensure real-time control and response of the operations.
