Proposal of ripeness classification method of avocado using deep learning

DOI

Bibliographic Information

Other Title
  • 深層学習を用いたアボカドの追熟段階分類手法の提案

Description

<p>Avocados, favorite fruits for many consumers, are to detect if they are ripe or not. There are existing studies on the classification of ripening stages of avocados; however, these studies have not been efficient and convenient for consumers to use. Thus, a different approach that is available to the consumers at large is needed. Here, we propose a method for classifying the ripening stages of avocado using deep learning. This system will help consumers detect a ripe avocado when purchasing or cooking with it. The proposed method uses a new approach to detect avocados and classify them into four ripening stages using two deep learning models from the user's avocado image input.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390003825189188224
  • NII Article ID
    130007856634
  • DOI
    10.11517/pjsai.jsai2020.0_1f3os2a01
  • ISSN
    27587347
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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