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

著录项

• 来源
  《In Vitro Cellular and Development Biology. Plant: Journal of the Tissue Culture Association》 |2018年第1期|共15页
• 作者

  Mohsen Niazian; Seyed Ahmad Sadat-Noori; Moslem Abdipour; Masoud Tohidfar; Seyed Mohammad Mahdi Mortazavian;

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• 作者单位

  Department of Agronomy and Plant Breeding Science College of Aburaihan University of Tehran;

  Department of Agronomy and Plant Breeding Science College of Aburaihan University of Tehran;

  Kohgiluyeh and Boyerahmad Agricultural and Natural Resources Research and Education Center Agricultural Research Education and Extension Organization (AREEO);

  Department of Biotechnology Faculty of New Technologies and Energy Engineering Shahid Beheshti University;

  Department of Agronomy and Plant Breeding Science College of Aburaihan University of Tehran;

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• 收录信息
• 原文格式 PDF
• 正文语种 other
• 中图分类 植物学;
• 关键词

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

  机译：ajowan;人工神经网络;图像处理;体细胞胚胎数量;形态学性质;