IMPROVING IRRIGATION EFFICIENCY BASED ON INTRODUCING OF DIGITAL MODELS FOR FORECASTING WATER CONSUMPTION
Introduction. As a result of the insufficient development of the Russian digital agro-technologies market, there are slightly integrated solutions and technologies for increasing productivity based on intellectualization and digitalization. Therefore, the development of new solutions based on mathematical principles and methods for the transition to agriculture of a new formation is a very urgent task. Object. The object of research is digital models and software for forecasting total water consumption. Materials and methods. In the presented work, the methods of the theory of Chebyshev interpolation are applied to predict the total water consumption. This approach allows you to obtain more accurate predicted values, as a result of which the parameters are optimized, which provides significant resource savings. The methodology for constructing a predictive indicator of total water consumption based on the problem of the Chebyshev approximation allows us to propose the conducted theoretical studies. Results and conclusions. The results of the development of a methodology for constructing a predictive polynomial for predicting total water consumption based on the theory of Chebyshev interpolation of a discretely given function, which allows obtaining more accurate predicted values and, as a consequence, optimizing irrigation parameters, are presented. The developed computer program, which implements the construction of a predictive polynomial, allows it to be integrated into the structure of digital platforms for agribusiness management, such as, for example, Agro-signal and used to promptly adjust irrigation decisions.