Methodology for constructing a simulation model for optimal control of microclimate parameters of an agricultural facility

This article develops methods for constructing a simulation model for optimal control of greenhouse microclimate parameters as an object of agroecological modeling. This simulation model primarily solves the problem of temperature and humidity control through the problem of minimizing the quality functional of the one-dimensional equation of thermal conductivity of materials. The use of models that make decisions based on neuro-fuzzy logic and simulate energy-saving mode of growing vegetables in greenhouses, in the climatic conditions of the NPR, in order to derive the optimal algorithm for controlling microclimate parameters in relation to product growth will allow abandoning its search using mathematical methods. Such a simulation model includes both constantly updated knowledge databases, permanently receiving information from measuring devices inside the greenhouse, and biological knowledge databases, including all information about the crop grown in the greenhouse. The task is applied, since at present there is an acute shortage of simulation models that allow precisely simulating the temperature and humidity conditions of a greenhouse complex.