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)

In Vitro Cellular and Developmental Biology - Plant

Volumn 54, Issue 1, 2018, Pages 54-68

  Niazian, Mohsen ^a   Sadat Noori, Seyed Ahmad ^a   Abdipour, Moslem ^b   Tohidfar, Masoud ^c   Mortazavian, Seyed Mohammad Mahdi ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

^b Education and Extension Organization (AREEO)   (Iran)

^c SHAHID BEHESHTI UNIVERSITY   (Iran)

Author keywords

Ajowan; Artificial neural network; Image processing; Morphological properties; Number of somatic embryos

Indexed keywords

EID: 85040218548     PISSN: 10545476     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11627-017-9877-7     Document Type: Article

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