"RESULTS OF A COMPUTER EXPERIMENT ON THE ARCHITECTURAL INTEGRATION OF HARDWARE AND SOFTWARE COMPONENTS OF MULTILEVEL TRANSFORMATION OF MEASURED DATA OF PREDICTIVE SOIL MOISTURE CONTROL"

The current state of agriculture is influenced by complex environmental, economic, social and technological transformations. Despite significant achievements in adapting agrotechnological processes to the dynamic impacts of agroclimatic conditions, quantitative indicators characterizing the rate, quality and volume of crop yields remain unstable in Ukraine and globally. One of the main reasons for this problem is soil degradation and reduced availability of water resources, particularly due to their unsustainable use. In this context, a relevant and effective approach is the introduction of digital technologies for optimizing irrigation regimes, taking into account the predictive influence of a set of informative characteristics and destabilizing factors. Therefore, this article aims to increase the efficiency of the agrotechnological process of crop irrigation by developing and researching a computer technology for predictive soil moisture control based on the architectural integration of hardware and software components of the multilevel transformation of informative data and influencing factors. The object of research is the processes of software predictive transformation of data and factors regarding the state of soil moisture, and the subject of research is the hardware and software of computer technology for controlling soil moisture. The key results of the article are the developed and tested simulation model of the subsystem of data aggregation and local network exchange on crop moisture modes in the Proteus, the simulation model of intelligent predictive analysis of measurement data and influencing factors on crop moisture modes in the Matlab & Simulink, the simulation model of the interaction of hardware and software components within the integrated architecture of soil moisture control computer technology with the ability to interact with a cloud server for accumulation and graphical interpretation of results, implemented in the Node-Red.