Comprehensive Assessment Method of Agricultural Territories Based on Artificial Intelligence Technology in Terms of Greenhouse Effect Dynamics

In this article the results of the development of integrated assessment modelling and forecasting of the agricultural areas productivity are presented depending on the technogenic and natural impacts, which include the dispersion and accumulation of greenhouse gases based on neuro-fuzzy data analysis. The digital transformation of crop production is part of a federal strategy aimed at adapting agricultural areas to climate change and obtaining a consistently high yield through the introduction of Industry 4.0 digital technologies and platform services. The software-algorithmic tools are presented to implement the method. The group of researchers considered a new approach to the adaptation of agricultural areas in the context of the greenhouse effect dynamics and proposed a new method of agro-ecological and natural-agricultural zoning of territories to increase the amount of crop yields. Practical implementation makes it possible to select evidence-based measures for zoning agricultural areas, thereby improving the efficiency of specific control actions for the adaptation of territories in terms of the greenhouse effect dynamics. Practical implementation of the approach is expected to increase the level of environmental and food security.