Approaches to Building an Automated Control System for Plant Production in the Conditions of Greenhouse Effect Dynamics

The article examines the main aspects of implementing adaptive management of plant production technology in the context of the dynamics of the greenhouse effect, based on the construction of automated systems endowed with the functions of scientifically based zoning of agricultural territories, taking into account the results of model assessment and forecasting of the dispersion and accumulation of greenhouse gases. Systems of this class include a special module - a digital platform that generates and updates a complex of necessary models, algorithms, their software implementation, and a knowledge base for automated operational comparison and selection of a technological map and type of crops for their cultivation, ensuring a consistently high yield in the existing/predictable natural and climatic and man-made conditions. Effective solutions for the stated tasks and the choice of the best technology from alternatives are achieved based on the synthesized use of methods of intelligent data analysis, geoinformation technologies, and 3D modeling. The digital platform not only implements the dynamic formation and use of required predictive models and algorithms but also ensures the operational response of all components of the investigated automated system to current changes in the control object and the surrounding environment. The adaptive management scenarios generated in the system are aimed at increasing the productivity of agricultural territories based on the rational use of causal links between the natural potential of soil and plants with climatic factors.