classification

July 3, 2022
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Glume pubescence prediction of spikelets using computer vision techniques

by Nikita | Novosibirsk State University Pubescence is the important feature, which has several useful functions. In that work we trained convolutional neural network for classification of wheat spikelets according to glume pubescence. Also we determined, what augmentations are the best for that task. These results can be used for training classification model of pubescence […]

13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing

June 24, 2022
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The system of computer vision for extracting quantitative characteristics of wheat shoots

by Busov Igor | student of NSU Methods of analyzing quantitative characteristics of wheat shoots based on visual or tactile expert assessment have some disadvantages: subjectivity, labor input. An alternative method was implemented in the work, which is based on the analysis of images by computer vision methods. The following methods and algorithms were used […]

13. Big genetic Data Analysis, deep learning, mathematical modeling and supercomputing