Implementation of a multi-layer hamming network in problems for recognition dry areas of agricultural crops

Abstract

The article discusses the possibilities of using the mathematical and instrumental enhancement of the multilayer Hamming network in the tasks of recognizing aerial photographs, in particular, the advantages of the neuromodel for implementing further research to solve the problems of increasing crop yield based on monitoring and segmentation of dry crop areas are highlighted.