輪ギクの品質評価に関する研究　（第１報）　　専門家の評価結果とキクの形態的特徴との関係

DOI

書誌事項

タイトル別名
  • Studies on Quality Evaluation of Chrysanthemum Cut Flower. (Part 1). Relation between Experts' Evaluation and Morphological Characteristics of Cut Flower.
  • Relation between Experts' Evaluation and Morphological Characteristics of Cut Flower
  • 専門家の評価結果とキクの形態的特徴との関係

抄録

The grading or quality evaluation of chrysanthemum cut flowers is traditionally performed by experts trained in the grading based on their skilled sensibility. In this paper, an attempt was made to draw some quantitative criteria from the traditional evaluation process by scoring the quality of chrysanthemum cut flowers. The pictorial images of forty-five chrysanthemum cut flowers of which morphological features were intentionally varied were recorded on a video tape. The video images were shown to two independent experts who were asked to score those cut flowers based on the video images. Two replications were made. The results revealed that there were significant differences between two sets of scores given by two experts respectively. There were also large difference between the first evaluation and the second one. The results imply that the human evaluation is vague and uncertain. The measurements were taken for cut flower length, length between flower and the uppermost node, main stem diameter, curvature of main stem, average internode length, area of leaves and stems, and sizes of leaves in order to investigate the relationship between physical features of cut flowers and experts' decision criteria. It seemed that the most of measured physical features were related to experts' decision criteria. No straight applications of these physical features to the grading parameters seem to be possible because there was not enough statistical substantiality. There must be some complex combinations between physical features that make experts decide the quality of individual cut flower. One of the well known functions of neural network is a classifier that can handle this type of problem.

収録刊行物

キーワード

詳細情報 詳細情報について

  • CRID
    1390282679357589120
  • NII論文ID
    130002032584
  • DOI
    10.2525/jshita.11.93
  • ISSN
    18803555
    09186638
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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