Author:
Tokarev Kirill,Lebed Nikita,Nekhoroshev Dmitriy,Popov Alexander,Klimenko Vladimir
Abstract
The authors propose an algorithm for analysing and segmenting high-resolution images of cultivated plant leaves by a convolutional neural network of deep learning in conditions of small samples. The algorithm implemented in the hardware and software complex includes images preprocessing procedures with the elimination of distortions if they are present, data augmentation to increase the number of variations, classification of signs by textural characteristics in order to identify diseases with subsequent segmentation of images of affected leaves.
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