Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study.

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Title: Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study.
Authors: Hesami, Mohsen1,2, Naderi, Roohangiz2, rnaderi@ut.ac.ir, Tohidfar, Masoud3
Source: Applied Microbiology & Biotechnology; Dec2020, Vol. 104 Issue 23, p10249-10263, 15p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 146998510
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  Data: Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study.
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  Data: <searchLink fieldCode="AU" term="%22Hesami%2C+Mohsen%22">Hesami, Mohsen</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Naderi%2C+Roohangiz%22">Naderi, Roohangiz</searchLink><relatesTo>2</relatesTo>, <i>rnaderi@ut.ac.ir</i><br /><searchLink fieldCode="AU" term="%22Tohidfar%2C+Masoud%22">Tohidfar, Masoud</searchLink><relatesTo>3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Applied+Microbiology+%26+Biotechnology%22">Applied Microbiology & Biotechnology</searchLink>; Dec2020, Vol. 104 Issue 23, p10249-10263, 15p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=146998510
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s00253-020-10978-1
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      – Code: eng
        Text: English
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        PageCount: 15
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      – TitleFull: Introducing a hybrid artificial intelligence method for high-throughput modeling and optimizing plant tissue culture processes: the establishment of a new embryogenesis medium for chrysanthemum, as a case study.
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            NameFull: Hesami, Mohsen
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            NameFull: Naderi, Roohangiz
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            NameFull: Tohidfar, Masoud
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            – D: 01
              M: 12
              Text: Dec2020
              Type: published
              Y: 2020
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              Value: 104
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