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Article Information:
Study on the Fruit Grading Recognition System Based on Machine Vision
Huan Ma, Ming Chen and Jianwei Zhang
Corresponding Author: Huan Ma
Submitted: November 21, 2014
Accepted: March 4, 2015
Published: July 15, 2015 |
Abstract:
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The study proposed that the current development of fruit industry requires the fast and efficient methods to test the varieties of fruits, which can combine the image processing and computer machine vision technology together to be applied in the field of fruit varieties detection, so as to be consistent with this new trend. At present, the determination of these traits were mainly depended on visual grading and manual measurement, which existed the problems such as: slow speed, low accuracy and poor objectivity and so on.
Key words: Computer vision, fruit industry, fruit varieties detection, , , ,
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Cite this Reference:
Huan Ma, Ming Chen and Jianwei Zhang, . Study on the Fruit Grading Recognition System Based on Machine Vision. Advance Journal of Food Science and Technology, (11): 777-780.
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ISSN (Online): 2042-4876
ISSN (Print): 2042-4868 |
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