DOI

  • A. Y. Pronozin
  • A. A. Paulish
  • E. A. Zavarzin
  • A. Y. Prikhodko
  • N. M. Prokhoshin
  • Y. V. Kruchinina
  • N. P. Goncharov
  • E. G. Komyshev
  • M. A. Genaev
Translated title of the contributionAutomatic morphology phenotyping of tetra-and hexaploid wheat spike using computer vision methods
Original languageRussian
Article number8
Pages (from-to)71-81
Number of pages11
JournalVavilovskii Zhurnal Genetiki i Selektsii
Volume25
Issue number1
DOIs
Publication statusPublished - 2021

    Research areas

  • Biotechnology, Computer vision, Image processing, Machine learning, Phenomics, Wheat, Wheat spike morphology

    OECD FOS+WOS

  • 1.06 BIOLOGICAL SCIENCES
  • 4.01.AH AGRICULTURE, MULTIDISCIPLINARY
  • 1.06.KM GENETICS & HEREDITY

    State classification of scientific and technological information

  • 34 BIOLOGY

ID: 28327826