Deep Learning Predicts Rapid Over-softening and Shelf Life in Persimmon Fruits

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Material Type: 記事
Title: Deep Learning Predicts Rapid Over-softening and Shelf Life in Persimmon Fruits
Author/Editor: Maria Suzuki
Kanae Masuda
Hideaki Asakuma
Kouki Takeshita
Kohei Baba
Yasutaka Kubo
Koichiro Ushijima
Seiichi Uchida
Takashi Akagi
Author Heading: Maria Suzuki
Kanae Masuda
Hideaki Asakuma
Kouki Takeshita
Kohei Baba
Yasutaka Kubo
Koichiro Ushijima
Seiichi Uchida
Takashi Akagi
Periodical title: The horticulture journal
No. or year of volume/issue: 91(3):2022.7
Volume: 91
Issue: 3
Pages: 408-415
Publication date of volume/issue (W3CDTF): 2022-07
ISSN (Periodical Title): 2189-0102
ISSN-L (Periodical Title): 2189-0102
Publication (Periodical Title): [Kyoto] : Japanese Society for Horticultural Science
Place of Publication (Country Code): JP
Text Language Code: eng
Subject Heading: AI
classification
explainable deep learning
internal disorder
ripening
NDLC: ZR7
Target Audience: 一般
Holding library: 国立国会図書館
Call No.: Z78-A456
Data Provider (Database): 国立国会図書館 : 国立国会図書館雑誌記事索引
https://ndlsearch.ndl.go.jp
Bibliographic ID (NDL): 032269816
http://id.ndl.go.jp/bib/032269816
Bibliographic Record Category (NDL): 632