Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods E.G. Komyshev, M.A. Genaev, I.D. Busov, M.V. Kozhekin, N.V. Artemenko, A.Y. Glagoleva, V.S. Koval, D.A. Afonnikov Vavilov journal of genetics and breeding, 2023
2022
Wheat yield estimation based on analysis of UAV
images at low altitude Mikhail Kozhekin, Mikhail Genaev, Vasily Koval, Andrey Slobodchikov, Dmitry Afonnikov BIO Web of Conferences, 2022
Relationship between the characteristics of bread wheat grains, storage time and germination Dmitry A. Afonnikov. Evgenii G. Komyshev, Vadim M. Efimov, Mikhail A. Genaev, Vasily S. Koval, Peter U. Gierke and Andreas Börner Plants, 2022, v. 11, p. 35
Classification of Fruit Flies by Gender in Images Using
Smartphones and the YOLOv4-Tiny Neural Network Mikhail A. Genaev, Evgenii G. Komyshev, Olga D. Shishkina, Natalya V. Adonyeva, Evgenia K. Karpova, Nataly E. Gruntenko, Lyudmila P. Zakharenko, Vasily S. Koval and Dmitry A. Afonnikov Mathematics, 2022, v. 10, p. 295
QTL Analysis for Bread Wheat Seed Size, Shape and Color
Characteristics Estimated by Digital Image Processing Mian Abdur Rehman Arif, Evgenii G. Komyshev, Mikhail A. Genaev, Vasily S. Koval, Nikolay
A. Shmakov, Andreas Börner and Dmitry A. Afonnikov Plants, 2022, v. 11, article 2105.
Отчет о деятельности Новосибирского отделения ВОГиС за 2004-2009 гг Жимулев И.Ф., Гончаров Н.П., Коваль В.С. Информационный вестник ВОГИС, 2010, Т.14, № 2. C.375-380.
