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Towards developing a cyber-physical multi-agent system for managing precise farms with digital twins of plants

Vladimir Laryukhin, Oleg Lakhin, Sergey Grachev, Petr Skobelev, Vladimir Yalovenko, Olga Yalovenko
The paper presents the multi-agent approach for developing
cyber-physical system for managing precise farms with digital twins of plants. It discusses complexity of the problem caused by a priori incompleteness of knowledge about factors of plant growth and development, high uncertainty of crops cultivation, variety of weather, business and technical requirements, etc. The approach
proposes knowledge bases and multi-agent technology in combination with machine learning methods for designing considered systems. Digital twin of plant is specified as an agent based on ontology model of objects relevant for plant cultivation (specific sort of plant, soil, etc) associated with history of operations and environment conditions. The architecture and functions of system components are designed. The expected results of system implementation and the benefits for farmers
are discussed.
CYBERNETICS AND PHYSICS, Vol. 8, Is. 4, 2019, 257–261, https://doi.org/10.35470/2226-4116-2019-8-4-257-261
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