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Article, Moscow, 2024
Publisher:
Ñáîðíèê "Ãîðèçîíòû ìàòåìàòè÷åñêîãî ìîäåëèðîâàíèÿ è òåîðèÿ ñàìîîðãàíèçàöèè. Ê 95-ëåòèþ ñî äíÿ ðîæäåíèÿ Ñ.Ï. Êóðäþìîâà"
Authors: Kochkarov A.A., Kulikov A.K., Rumyantsev B.V.
Agrobiotechnologies: Experience in using and prospects for using artificial intelligence
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.
Keywords:
artificial intelligence technologies, agrobiotechnologies, autonomous agricultural production, machine learning, synergetics,plant stress control, bioeconomy, nature-like technologies
Publication language: russian,  pages: 10
Research direction:
Mathematical modelling in actual problems of science and technics
Russian source text:
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About authors:
  • Kochkarov Azret Ahmatovich,  orcid.org/0000-0002-3232-5331RAS Federal Research Centre “Fundamentals of Biotechnology”
  • Kulikov Andrey Kirillovich,  orcid.org/0000-0001-6143-4986MIREA - Russian Technological University
  • Rumyantsev Boris Vadimovich,  orcid.org/0000-0002-7355-2565RAS Federal Research Centre “Fundamentals of Biotechnology”