Scientific and Technological Problems of Modeling Jointly Functioning Artificial and Bioenergy Agro-Ecological Systems

We live in a time that is complex and difficult to predict, even for events shortly. Along with the uniform development of modern technologies, wars, and artificial and natural disasters arise sporadically, which contemporary society has not yet learned to cope with effectively. Various world-class programs and projects exist to overcome the consequences of such phenomena, but these efforts are not enough to prevent the conditions for cataclysms. There is a need to consider the construction and development of new technologies as a particular component of a complex equivalent in the form of a system of concepts: “nature - man - society - state.” Considering the above circumstances, solving the problem of building effective bioenergy agricultural production in these conditions is becoming a promising area of scientific research in the coming decades. The efforts of scientists in many countries aim to find optimal solutions to ensure the effective operation of agricultural technologies associated with the production and distribution of energy resources available in the state. The work analyzes some conditions and theoretical prerequisites for creating new generation models using a virtual ecosystem model at the pace of technological energy production and consumption processes in bioenergy ecosystems. The shortcomings of existing approaches and technologies for modeling complex heterogeneous ecosystems are discussed. New innovative technology elements for constructing models and modeling the functioning modes of bioenergy agricultural technologies using artificial intelligence methods are proposed.

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Published
2024-12-01
DOI
https://doi.org/10.1109/tencon61640.2024.10902937
Primary Topic
Global Energy and Sustainability Research
Type
article
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Scientific and Technological Problems of Modeling Jointly Functioning Artificial and Bioenergy Agro-Ecological Systems

Viktor Gurieiev, Jiang Qin
Global Energy and Sustainability Research
article

Scientific and Technological Problems of Modeling Jointly Functioning Artificial and Bioenergy Agro-Ecological Systems

Viktor Gurieiev, Jiang Qin
article en

Abstract

We live in a time that is complex and difficult to predict, even for events shortly. Along with the uniform development of modern technologies, wars, and artificial and natural disasters arise sporadically, which contemporary society has not yet learned to cope with effectively. Various world-class programs and projects exist to overcome the consequences of such phenomena, but these efforts are not enough to prevent the conditions for cataclysms. There is a need to consider the construction and development of new technologies as a particular component of a complex equivalent in the form of a system of concepts: “nature - man - society - state.” Considering the above circumstances, solving the problem of building effective bioenergy agricultural production in these conditions is becoming a promising area of scientific research in the coming decades. The efforts of scientists in many countries aim to find optimal solutions to ensure the effective operation of agricultural technologies associated with the production and distribution of energy resources available in the state. The work analyzes some conditions and theoretical prerequisites for creating new generation models using a virtual ecosystem model at the pace of technological energy production and consumption processes in bioenergy ecosystems. The shortcomings of existing approaches and technologies for modeling complex heterogeneous ecosystems are discussed. New innovative technology elements for constructing models and modeling the functioning modes of bioenergy agricultural technologies using artificial intelligence methods are proposed.

Harbin Institute of Technology (CN)
Zero hunger
Openalex Percentile: Top 83%
Global Energy and Sustainability Research
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Scientific and Technological Problems of Modeling Jointly Functioning Artificial and Bioenergy Agro-Ecological Systems — Viktor Gurieiev, Jiang Qin · (2024) | TGRS Research Map | TGRS