J.of Soc of Agri Struc, Japan.
Vol.23,No.2 November 1992,81-86
Original:
Language: Japanese

Studies on Sorting Systems for Fruits and Vegetables(Part1)
-Color Grading of Apple by Neural Network Systems-

Kazuhiro NAKANO, Kazuhiko KURATA, Masahiko KANEKO, Yuichi KAZAMA and Ken-ichi TAKIZAWA

Summary

    Uniform color grading of apple is still a serious problem because of judgment errors caused by the seasonal fluctuation in grading criterion, the difference of criterion in producing area and the fatigue of grading workers.
    In this study, a method for color grading of apple is examined by neural network systems used image processing instead of human eyes. As the results, the grade judgment ratio is more than 90% at the last recognition error e = 0.01 with the neural network systems used in this study. It was proved that the neural network systems has the reappearance of color grading of apple.

Keywords: apple, color grading, sorting systems, neural network systems, image processing, chromatic component

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