| Autor: |
Igor Mayorov, Oleg Goryanin, A. S. Tabachinskiy, Elena V. Simonova, Alexey Zhilyaev, Vladimir Yalovenko, Petr Skobelev |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Cyber-Physical Systems ISBN: 9783030678913 |
| DOI: |
10.1007/978-3-030-67892-0_8 |
| Popis: |
The chapter proposes a formalized model of a digital twin of the plant on the basis of a graph of transitions of states corresponding to stages of plant development, a description of which is contained in the knowledge base. The graph of states is based on a mathematical model of the “tube” of ranges in values of parameters at each stage during the normal development of the plant, as well as in case of dangerous weather events and going beyond critical boundaries, which leads to partial or complete loss of yield. The software implementation of the digital twin of the plant uses a conceptual (ontological) model for representing domain knowledge (ontology of crop production). The created ontological models of the development of plant varieties are loaded into a multi-agent system for planning stages of plant development and generating yield forecast for each stage, presented by its own software agent. A prototype of an intelligent system of the digital twin of the plant has been developed, in which, among others, the functions of modeling duration of plant development stages and forecasting crop yield are implemented depending on weather and climatic conditions and external events. The digital twin can help systematize, formalize and accumulate knowledge for decision-making in each farm and automate management processes when introducing precision farming technologies. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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