Title: Towards national-size digital platform and ecosystem of smart services for precision farming

Authors: Oleg Goryanin; Petr Skobelev; Elena Simonova; Aleksey Tabachinskiy

Addresses: Department of Agriculture, Samara State Agriculture University, 2 Uchebnaya str., Ust-Kinelsky, Kinel, 446442, Russia ' Digital Twin Laboratory, Samara Scientific Center of Russian Academy of Sciences, 3a Studentscheskiy Lane, Samara, 443001, Russia ' Institute of Informatics and Cybernetics, Samara National Research University, 3a Studentscheskiy Lane, Samara, 443001, Russia ' Digital Twin Laboratory, Samara Scientific Center of Russian Academy of Sciences, 3a Studentscheskiy Lane, Samara, 443001, Russia

Abstract: The paper describes problem statement and developed prototype of smart farming solution, which is designed as an open digital platform and ecosystem (system of systems) of smart agricultural services. Each service is implemented as an autonomous artificial intelligence system for decision-making support. The paper describes the functionality of the created prototypes of services within the smart farming solution for precision farming and the possibilities of their use for a wider range of consumers, including state authorities, universities, suppliers of fertilisers and plant protection products, technology companies, startups and end users. A distinctive feature of the considered system is the use of knowledge bases and multi-agent technologies in order to support collective decision-making processes regarding allocation, planning, optimisation and control of resources of farms in real time. Furthermore, the paper discusses results of development and first applications, as well as directions for further development of the proposed system.

Keywords: Industry 5.0; Society 5.0; precision farming; digital ecosystem; multi-agent technologies; knowledge base; decision making; resource management; digital twin of plant.

DOI: 10.1504/IJAITG.2023.135046

International Journal of Agriculture Innovation, Technology and Globalisation, 2023 Vol.3 No.2, pp.133 - 156

Received: 21 Jun 2022
Accepted: 09 Jan 2023
Published online: 28 Nov 2023 *

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