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Intelligent Automation System on a Single-Board Computer Platform for the Agro-Industrial Sector

Author

Listed:
  • Elena Butsenko

    (Department of Business Informatics, Institute of Management and IT, Ural State University of Economics, 620144 Ekaterinburg, Russia)

  • Aleksandr Kurdyumov

    (Department of Business Informatics, Institute of Management and IT, Ural State University of Economics, 620144 Ekaterinburg, Russia
    Department of Competition Law and Antimonopoly Regulation, Institute of Finance and Law, Ural State University of Economics, 620144 Ekaterinburg, Russia)

  • Aleksandr Semin

    (Department of Business Informatics, Institute of Management and IT, Ural State University of Economics, 620144 Ekaterinburg, Russia
    Department of Competition Law and Antimonopoly Regulation, Institute of Finance and Law, Ural State University of Economics, 620144 Ekaterinburg, Russia)

Abstract

The latest technologies in agribusiness include a range of IT solutions that reduce manual intervention with the top priority tasks to improve, develop, and implement projects based on smart agriculture, which operates on the principles of automation and robotization of production. The aim of the study is to develop a system of automated control of business processes for an agricultural enterprise. The system allows for remote collection and processing of data on technical and economic performance of the farming enterprise. It proves to be a low-cost solution due to the use of affordable and available equipment. When designing the system, the authors described its back end, as well as the connectivity architecture between sensors and modules on one side, and the microcontroller on the other. The paper features modules for monitoring and controlling electrical energy consumption, lighting, temperature, and humidity written in C ++ programming language. Test modules that were controlled by the Arduino microcontroller were analyzed. Further development of the system may involve devising and introducing IoT technologies based on the use of various architectural platforms for practical application.

Suggested Citation

  • Elena Butsenko & Aleksandr Kurdyumov & Aleksandr Semin, 2020. "Intelligent Automation System on a Single-Board Computer Platform for the Agro-Industrial Sector," Mathematics, MDPI, vol. 8(9), pages 1-15, September.
    • Handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1480-:d:407544
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    References listed on IDEAS

    as
    1. Alexander Semin & Alikhan Kibirov & Usman Rassukhanov, 2018. "Problems and Main Mechanisms to Increase Investment Attractiveness of Agricultural Production," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 378-400.
    2. Rose, David C. & Sutherland, William J. & Parker, Caroline & Lobley, Matt & Winter, Michael & Morris, Carol & Twining, Susan & Ffoulkes, Charles & Amano, Tatsuya & Dicks, Lynn V., 2016. "Decision support tools for agriculture: Towards effective design and delivery," Agricultural Systems, Elsevier, vol. 149(C), pages 165-174.
    3. Sergio Trilles Oliver & Alberto González-Pérez & Joaquín Huerta Guijarro, 2019. "Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    4. Lowder, Sarah K. & Skoet, Jakob & Raney, Terri, 2016. "The Number, Size, and Distribution of Farms, Smallholder Farms, and Family Farms Worldwide," World Development, Elsevier, vol. 87(C), pages 16-29.
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