Geodesic
The use of convolutional neural networks
News of the Kabardin-Balkar scientific center of RAS, no. 5 (2023), pp. 41-51

Voir la notice de l'article provenant de la source Math-Net.Ru

This article provides an overview of existing convolutional neural network architectures and their application in the classification task for detecting diseases of fruits and plants. Diseases of plants and fruits are a serious problem in agriculture and horticulture, and their early detection can help in taking timely measures to prevent the spread and minimize damage. The results of the study can be useful for the development of automated systems for detecting diseases of fruits and plants, which helps to increase yields.
Keywords: neural networks, machine learning, convolutional network architecture, computer vision
Mots-clés : image classification. 
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     author = {M. A. Shereuzheva and M. A. Shereuzhev and Z. M. Albekova},
     title = {The use of convolutional neural networks},
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     pages = {41--51},
     publisher = {mathdoc},
     number = {5},
     year = {2023},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2023_5_a3/}
}
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M. A. Shereuzheva; M. A. Shereuzhev; Z. M. Albekova. The use of convolutional neural networks. News of the Kabardin-Balkar scientific center of RAS, no. 5 (2023), pp. 41-51. http://geodesic.mathdoc.fr/item/IZKAB_2023_5_a3/