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     Advance Journal of Food Science and Technology


Study on the Fruit Recognition System Based on Machine Vision

Duanli Yang, Hongmei Li and Liguo Zhang
College of Information Science and Technology, Agricultural University of Hebei, Baoding, China
Advance Journal of Food Science and Technology   2016  1:18-21
http://dx.doi.org/10.19026/ajfst.10.1745  |  © The Author(s) 2016
Received: April ‎14, ‎2015  |  Accepted: May ‎10, ‎2015  |  Published: January 05, 2016

Abstract

The study proposed that the current development of fruit 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 domain, so as to be consistent with this new trend. In this research, In terms of the fruit detection based on Haar-like characteristics, PCA method is mainly used in fruit recognition and used to detect citrus.

Keywords:

Fruit domain, varieties of fruits, visual and manual measurement,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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