Estimation of Citrus Maturity with Fluorescence Spectroscopy Using Deep Learning

• 斎藤, 嘉人

  Graduate School of Agricultural and Life Sciences, The University of Tokyo

• 鈴木, 哲仁

  Graduate School of Agriculture, Kyoto University

• 近藤, 直

  Graduate School of Agriculture, Kyoto University

• Kondo, Naoshi

  Graduate School of Agriculture, Kyoto University

• Hosoi, Fumiki

  Graduate School of Agricultural and Life Sciences, The University of Tokyo

抄録

To produce high-quality citrus, the harvest time of citrus should be determined by considering its maturity. To evaluate citrus maturity, the Brix/acid ratio, which is the ratio of sugar content or soluble solids content to acid content, is one of the most commonly used indicators of fruit maturity. To estimate the Brix/acid ratio, fluorescence spectroscopy, which is a rapid, sensitive, and cheap technique, was adopted. Each citrus peel was extracted, and its fluorescence value was measured. Then, the fluorescent spectrum was analyzed using a convolutional neural network (CNN). In fluorescence spectroscopy, a matrix called excitation and emission matrix (EEM) can be obtained, in which each fluorescence intensity was recorded at each excitation and emission wavelength. Then, by regarding the EEM as an image, the Brix/acid ratio of juice from the flesh was estimated via performing a regression with a CNN (CNN regression). As a result, the Brix/acid ratio absolute error was estimated to be 2.48, which is considerably better than the values obtained by the other methods in previous studies. Hyperparameters, such as depth of layers, learning rate, and the number of filters used for this estimation, could be observed using Bayesian optimization, and the optimization contributed to the high accuracy.

収録刊行物

• Horticulturae

  Horticulturae 5 (1), 2019-03

  MDPI AG

キーワード

• Bayesian optimization
• citrus
• CNN regression
• fluorescence

詳細情報

• CRID: 1050845764115851904
• NII論文ID: 120006775908
• ISSN: 23117524
• HANDLE: 2433/245212
• 本文言語コード: en
• 資料種別: journal article
• データソース種別:
  • IRDB
  • CiNii Articles