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

Author:

Laryukhin Vladimir1,Skobelev Petr1,Lakhin Oleg2,Grachev Sergey2,Yalovenko Vladimir3,Yalovenko Olga3

Affiliation:

1. Samara State Technical University, Russia

2. Knowledge Genesis Group, Russia

3. Peschanokopskaya Agrarian Laboratory

Abstract

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.

Publisher

Institute for Problems in Mechanical Engineering of the Russian Academy of Sciences - IPME RAS

Subject

Artificial Intelligence,Control and Optimization,Fluid Flow and Transfer Processes,Computer Vision and Pattern Recognition,Physics and Astronomy (miscellaneous),Signal Processing

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4. Interplay of Cyber Physical Systems for Space Technologies with Emphasis on Space Crop Farming;2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2023-11-19

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