マシンビジョンによる果菜の等級判定に関する研究(第2報) 構築したソフトウェアによるイチゴの形状判定試験

書誌事項

タイトル別名
  • Study on Grade Judgment of Fruit Vegetables Using Machine Vision (Part 2). Judgment for Several Varieties of Strawberry by Developed Software.
  • マシン ビジョン ニヨル カサイ ノ トウキュウ ハンテイ ニカンスルケンキュ
  • Judgment for Several Varieties of Strawberry by Developed Software
  • 構築したソフトウェアによるイチゴの形状判定試験

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抄録

The shape judgment on four varieties of strawberry was carried by sorting system software which applied the neural network reported in first report (part 1). The varieties were 'Reiko', 'Toyonoka', 'Wyoho'and'Akihime'. The patterns for every variety were made to be learned by the software. The results of shape judgment of strawberries by using the learned software was 94%-98% at the agreement rate. Also the image area and the weight of strawberries showed significant relationship that the correlation coefficient was above 0. 93. Therefore, it was thought that the strawberry size could be judged from the projection area. The software for the sorting system could judge the shape of strawberry by learning the standard pattern of strawberry for each variety. Moreover, the developed software proved to be versatile, hence it is a multipurpose sorting system for vegetable fruits.

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