Abstract
The paper examines current trends in digitalization and intellectualization of the agricultural production sector. The authors' experience in using artificial intelligence technologies when working with vertical autonomous vertical farms, as one of the types of urban agricultural production, is described. A number of issues are identified that require further research to improve the efficiency of use of urban agricultural production. Separately, the issues of changing the growing time, size, weight, concentration of required (useful) substances, and the content of secondary metabolites of plants grown in controlled and managed conditions of autonomous urban agricultural production are considered. The work also proposes a synergistic hypothesis of “plant stress control”, as the identification of order parameters in the management of plant vegetation (development) to achieve target indicators of their productivity.
Publisher
Keldysh Institute of Applied Mathematics
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