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JRM Vol.21 No.4 pp. 533-540
doi: 10.20965/jrm.2009.p0533
(2009)

Paper:

A Double Image Acquisition System with Visible and UV LEDs for Citrus Fruit

Mitsutaka Kurita* , Naoshi Kondo*2, Hiroshi Shimizu*2, Peter Ling*3, Paolo D. Falzea*4, Tomoo Shiigi*5, Kazunori Ninomiya*, Takahisa Nishizu*6, and Kazuya Yamamoto*5

*SI Seiko Co.,Ltd.,66, Takaoka-cho, Matsuyama, Ehime 791-8036, Japan

*2Graduate School of Agriculture, Kyoto University,
Kitashirakawa-Oiwakecho, Sakyo-ku, Kyoto 606-8502, Japan

*3Department of Food, Agricultural, and Biological Engineering, The Ohio State University,
1680 Madison Avenue, Wooster, OH 44691, USA

*4Faculty of Agricultural Science, Mediterranean University of Reggio Calabria,
89060, Localita Feo di Vito, Reggio Calabria, Italy

*5Graduate School of Science and Engineering, Ehime University,
3 Bunkyo-cho, Matsuyama, Ehime 790-8577, Japan

*6Faculty of Applied Biological Science, Gifu University,
1-1 Yanagito, Gifu 501-1193, Japan

Received:
September 16, 2008
Accepted:
February 12, 2009
Published:
August 20, 2009
Keywords:
fluorescence, fruit grading, fruit quality, machine vision, post harvest
Abstract
There are many types of citrus fruit grading machine with machine vision capability. While most of them sort fruit by size, shape and color, detection of fruit rot remains challenging because their colors are similar with normal parts. Objectives of this research were to investigate if fluorescence would be a good indicator of the fruit rot, and to develop an economical solution to add the rot inspection capability to an existing machine vision fruit inspection station. A machine vision system consisting of a pair of white and UV LED lighting devices and a color CCD camera was proposed for the orange fruit grading task. Since the time lag between the color and fluorescence image captures was short (14 ms), it was possible to inspect color, shape, size, and rot of a fruit on the move before it leaves an existing industrial inspection chamber.
Cite this article as:
M. Kurita, N. Kondo, H. Shimizu, P. Ling, P. Falzea, T. Shiigi, K. Ninomiya, T. Nishizu, and K. Yamamoto, “A Double Image Acquisition System with Visible and UV LEDs for Citrus Fruit,” J. Robot. Mechatron., Vol.21 No.4, pp. 533-540, 2009.
Data files:
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