Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods

Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods

Intraspecific classification of cultivated plants is necessary for the conservation of biological diversity, study of their origin and their phylogeny. The modern cultivated wheat species originated from three wild diploid ancestors as a result of several rounds of genome doubling and are represente...

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Bibliographic Details
Main Authors: A. Yu. Pronozin, A. A. Paulish, E. A. Zavarzin, A. Yu. Prikhodko, N. M. Prokhoshin, Yu. V. Kruchinina, N. P. Goncharov, E. G. Komyshev, M. A. Genaev
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2021-03-01
Series:Вавиловский журнал генетики и селекции
Subjects:
wheat spike morphology
wheat
phenomics
image processing
computer vision
machine learning
biotechnology
Online Access:https://vavilov.elpub.ru/jour/article/view/2918

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