Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods.
- DOI
- 10.18699/vj21.009
- Published
- 2021 Feb
- Container
- Vavilovskii zhurnal genetiki i selektsii
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.18699/vj21.009,
title = {Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods.},
author = {Pronozin AY and Paulish AA and Zavarzin EA and Prikhodko AY and Prokhoshin NM and Kruchinina YV and Goncharov NP and Komyshev EG and Genaev MA},
year = {2021},
journal = {Vavilovskii zhurnal genetiki i selektsii},
doi = {10.18699/vj21.009},
url = {https://doi.org/10.18699/vj21.009}
}RIS
TY - JOUR TI - Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods. AU - Pronozin AY AU - Paulish AA AU - Zavarzin EA AU - Prikhodko AY AU - Prokhoshin NM AU - Kruchinina YV AU - Goncharov NP AU - Komyshev EG AU - Genaev MA PY - 2021 JO - Vavilovskii zhurnal genetiki i selektsii DO - 10.18699/vj21.009 UR - https://doi.org/10.18699/vj21.009 ER -
APA
AY, P., AA, P., EA, Z., AY, P., NM, P., YV, K., NP, G., EG, K., & MA, G. (2021). Automatic morphology phenotyping of tetra- and hexaploid wheat spike using computer vision methods.. Vavilovskii zhurnal genetiki i selektsii. https://doi.org/10.18699/vj21.009
Source records
- pubmed · retrieved 2026-09-27T00:13:28.033Z