Ways to Achieve Efficiency Using Convolutional Neural Network in Cotton Growth

Abstract

The article presents data on the creation of an algorithmic program based on convolutional neural network and through it the optimal time of application of cotton plant against diseases and pests is determined. In order to save costs and improve efficiency, the theoretical considerations aimed at the formation of a database based on images and data and the development of a convolutional image recognition neural network and a cost calculation model.