Abstract
The article demonstrates the principles of machine learning on the example of a specific applied scientific research. The authors focus on topical issues of using machine-learning algorithms in various fields of activity, in particular, medicine. In this paper, we are talking about one of the areas of study of machine learning – the classification of plant leaf diseases. At the same time, the purpose of the article is to solve the problem using artificial intelligence with minimal human intervention. The authors consider in detail the technology of using machine learning to solve the problem of rice plant diseases. This project work used the Convolutional Neural Network (CNN) algorithm to classify four classes of different rice diseases: leaf spot, rice blast, brown spot, and tungroz. In total, the model used 5932 images, of which 4746 images were used as training data and 1186 as test data. This made it possible to experiment with a large number of data sets and thereby demonstrate the work of the machine learning method to solve a specific scientific problem