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The paper presents the recent development and application of image analysis and computer vision system in quality evaluation of products in the field of agriculture. Computer vision is a rapid, consistent and objective inspection technique, which has expanded into many diverse industries. Its speed and accuracy satisfy everincreasing production and quality requirements, hence aiding in the development of totally automated processes. The requirements and recent developments of hardware and software for machine vision systems are discussed, with emphases on monochrome imaging, colour imaging and multispectral imaging for modern grading and sorting systems. Examples of applications for detection of disease, defects, and contamination on fruits and vegetables are also given. Future trends of machine vision technology applications are discussed.
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