Author:
Skobelev P.O., ,Tabachisnkiy A.S.,Simonova E.V.,Zhuravel Yu.N.,Miatov G.N., , , , , ,
Abstract
In this paper, a concept of digital twin of plant, which is a decision support system to implement precise farming technologies. Digital twin of plant allows to forecast and simulate real crop state and suggest agricultural measures to the fi elds based on weather and soil data. Digital twin of plant is developed with the use of multi-agent technologies and ontology-based domain formalization.
Publisher
Samara Federal research center of the Russian Academy of Sciences
Cited by
1 articles.
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