Application of neural convolutional networks to identify fungal diseases of strawberry leaves

Abstract

The ineffectiveness of measures for the prevention and control of diseases of agricultural crops to prevent the spread of pests and diseases on plantations is shown. The necessity of creating automated intelligent systems capable of ground monitoring of the functional state of plants has been substantiated. A convolutional neural network, UNet, has been proposed to solve the problem of recognizing the degree of damage to plant leaves by fungal diseases. Research trials conducted by UNet.