Neural network modeling of water consumption

Abstract

Optimizing water management for irrigated agriculture requires the development of modern approaches to determining and predicting water consumption, despite the large number of already developed models. The article presents approaches to neural network modeling of water consumption. The advantage of such modeling is high accuracy and ability to adapt to changing parameters of the model, which distinguishes them from traditional methods and allows you to provide optimal results in terms of minimizing errors and increasing the tightness of the relationship between variables.