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Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum ammi (L.) Sprague).

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Title: Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (Trachyspermum ammi (L.) Sprague).
Authors: Niazian, Mohsen1 mniazian@ut.ac.ir, Sadat-Noori, Seyed Ahmad1, Abdipour, Moslem2, Tohidfar, Masoud3, Mortazavian, Seyed Mohammad Mahdi1
Source: In Vitro Cellular & Developmental Biology Plant. Feb2018, Vol. 54 Issue 1, p54-68. 15p.
Database: Academic Search Ultimate
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  Data: Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (<italic>Trachyspermum ammi</italic> (L.) Sprague).
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  Data: <searchLink fieldCode="JN" term="%22In+Vitro+Cellular+%26+Developmental+Biology+Plant%22">In Vitro Cellular & Developmental Biology Plant</searchLink>. Feb2018, Vol. 54 Issue 1, p54-68. 15p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=127735037
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        Value: 10.1007/s11627-017-9877-7
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        Text: English
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      – TitleFull: Image Processing and Artificial Neural Network-Based Models to Measure and Predict Physical Properties of Embryogenic Callus and Number of Somatic Embryos in Ajowan (<italic>Trachyspermum ammi</italic> (L.) Sprague).
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            NameFull: Sadat-Noori, Seyed Ahmad
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              Text: Feb2018
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              Y: 2018
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