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 for other plants.
Prediction of glume pubescence of spikelet using convolutional neural networks