Method for recognizing grape disease in bushes from images using neural network technologies

Grape bushes are one of the most important cultivated plants, which are subject to various diseases leading to significant losses in agriculture. The use of robotic systems and neural networks helps improve the diagnosis and management of these problems, reducing time and resources, increasing accuracy and efficiency. New technologies open up new prospects for agriculture, improving crop yields and quality, reducing costs and improving the economic performance of enterprises. This paper presents a deep learning-based model for leaf lesion recognition in grape plants. As part of the study, an experiment was conducted on a dataset to test the effectiveness of the proposed architecture. The results showed that the new model exhibits effective recognition, outperforming most existing methods.