日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Wheat spikelet detection on RGB images using deep machine learning

利用深度机器学习技术在RGB图像上检测小麦穗粒

Genaev, M A; Busov, I D; Kruchinina, Yu V; Kova, V S; Goncharov, N P

Plant Detection in RGB Images from Unmanned Aerial Vehicles Using Segmentation by Deep Learning and an Impact of Model Accuracy on Downstream Analysis

基于深度学习分割的无人机RGB图像植物检测及其模型精度对下游分析的影响

Kozhekin, Mikhail V; Genaev, Mikhail A; Komyshev, Evgenii G; Zavyalov, Zakhar A; Afonnikov, Dmitry A

Evaluation of the Spike Diversity of Seven Hexaploid Wheat Species and an Artificial Amphidiploid Using a Quadrangle Model Obtained from 2D Images

利用从二维图像获得的四边形模型评估七种六倍体小麦品种和一种人工异源四倍体的穗部多样性

Komyshev, Evgenii G; Genaev, Mikhail A; Kruchinina, Yuliya V; Koval, Vasily S; Goncharov, Nikolay P; Afonnikov, Dmitry A

A new leaf pubescence gene, Hl1th , introgressed into bread wheat from Thinopyrum ponticum and its phenotypic manifestation under homoeologous chromosomal substitutions

从黄茅(Thinopyrum ponticum)导入面包小麦的新叶片绒毛基因Hl1th及其在同源染色体替换下的表型表现

Simonov, A V; Gordeeva, E I; Genaev, M A; Li, W; Bulatov, I O; Pshenichnikova, T A

A pipeline for processing hyperspectral images, with a case of melanin-containing barley grains as an example

以含黑色素的大麦籽粒为例,介绍一种处理高光谱图像的流程。

Busov, I D; Genaev, M A; Komyshev, E G; Koval, V S; Zykova, T E; Glagoleva, A Y; Afonnikov, D A

Analysis of Genome Structure and Its Variations in Potato Cultivars Grown in Russia

俄罗斯种植马铃薯品种基因组结构及其变异分析

Karetnikov, Dmitry I; Vasiliev, Gennady V; Toshchakov, Stepan V; Shmakov, Nikolay A; Genaev, Mikhail A; Nesterov, Mikhail A; Ibragimova, Salmaz M; Rybakov, Daniil A; Gavrilenko, Tatjana A; Salina, Elena A; Patrushev, Maxim V; Kochetov, Alex V; Afonnikov, Dmitry A

Image-based classification of wheat spikes by glume pubescence using convolutional neural networks

基于卷积神经网络的小麦穗粒颖片绒毛图像分类

Artemenko, Nikita V; Genaev, Mikhail A; Epifanov, Rostislav Ui; Komyshev, Evgeny G; Kruchinina, Yulia V; Koval, Vasiliy S; Goncharov, Nikolay P; Afonnikov, Dmitry A

Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods

利用机器学习方法通过数字图像分析测定大麦籽粒中的黑色素和花青素含量

Komyshev, E G; Genaev, M A; Busov, I D; Kozhekin, M V; Artemenko, N V; Glagoleva, A Y; Koval, V S; Afonnikov, D A

WAX INDUCER 1 Regulates β-Diketone Biosynthesis by Mediating Expression of the Cer-cqu Gene Cluster in Barley

WAX INDUCER 1 通过介导大麦中 Cer-cqu 基因簇的表达来调节 β-二酮的生物合成

Sophia V Gerasimova, Ekaterina V Kolosovskaya, Alexander V Vikhorev, Anna M Korotkova, Christian W Hertig, Mikhail A Genaev, Dmitry V Domrachev, Sergey V Morozov, Elena I Chernyak, Nikolay A Shmakov, Gennady V Vasiliev, Alex V Kochetov, Jochen Kumlehn, Elena K Khlestkina

QTL Analysis for Bread Wheat Seed Size, Shape and Color Characteristics Estimated by Digital Image Processing

利用数字图像处理技术对面包小麦种子大小、形状和颜色特征进行QTL分析

Arif, Mian Abdur Rehman; Komyshev, Evgenii G; Genaev, Mikhail A; Koval, Vasily S; Shmakov, Nikolay A; Börner, Andreas; Afonnikov, Dmitry A