IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v8y2020i9p1480-d407544.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/8/9/1480/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/8/9/1480/
    Download Restriction: no
    ---><---

    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeroen Ooge & Katrien Verbert, 2022. "Visually Explaining Uncertain Price Predictions in Agrifood: A User-Centred Case-Study," Agriculture, MDPI, vol. 12(7), pages 1-25, July.
    2. Patil, Vikram & Ghosh, Ranjan & Kathuria, Vinish & Farrell, Katharine N., 2020. "Money, Land or self-employment? Understanding preference heterogeneity in landowners’ choices for compensation under land acquisition in India," Land Use Policy, Elsevier, vol. 97(C).
    3. Luis Bauluz & Yajna Govind & Filip Novokmet, 2020. "Global Land Inequality," PSE Working Papers halshs-03022318, HAL.
    4. Islam, Md. Mofakkarul & Sarker, Md. Asaduzzaman & Al Mamun, Md. Abdullah & Mamun-ur-Rashid, Md. & Roy, Debashis, 2021. "Stepping Up versus Stepping Out: On the outcomes and drivers of two alternative climate change adaptation strategies of smallholders," World Development, Elsevier, vol. 148(C).
    5. Livia Marchetti & Valentina Cattivelli & Claudia Cocozza & Fabio Salbitano & Marco Marchetti, 2020. "Beyond Sustainability in Food Systems: Perspectives from Agroecology and Social Innovation," Sustainability, MDPI, vol. 12(18), pages 1-24, September.
    6. Anne Jerneck, 2018. "What about Gender in Climate Change? Twelve Feminist Lessons from Development," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    7. Rodríguez del Valle, Adrián & Fernández-Vázquez, Esteban, 2024. "Analyzing market power of the agricultural industry in Asia," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 652-669.
    8. SIngh Verma, Juhee & Sharma, Pritee, 2019. "Potential of Organic Farming to Mitigate Climate Change and Increase Small Farmers’ Welfare," MPRA Paper 99994, University Library of Munich, Germany.
    9. Hurley, Mason, 2016. "Re-examining Changes in Farm Size Distributions Worldwide Using a Modified Generalized Method of Moments Approach," Master's Theses and Plan B Papers 249287, University of Minnesota, Department of Applied Economics.
    10. Gary Bentrup & Michael G. Dosskey, 2022. "Tree Advisor: A Novel Woody Plant Selection Tool to Support Multifunctional Objectives," Land, MDPI, vol. 11(3), pages 1-23, March.
    11. Yuta J. Masuda & Jonathan R.B. Fisher & Wei Zhang & Carolina Castilla & Timothy M. Boucher & Genowefa Blundo‐Canto, 2020. "A respondent‐driven method for mapping small agricultural plots using tablets and high resolution imagery," Journal of International Development, John Wiley & Sons, Ltd., vol. 32(5), pages 727-748, July.
    12. Koolwal, Gayatri B., 2021. "Improving the measurement of rural women's employment: Global momentum and survey priorities," World Development, Elsevier, vol. 147(C).
    13. Manhisse, Nelson & Ogawa, Keiichi, 2024. "Smallholder households and children’s schooling in primary education in Mozambique," International Journal of Educational Development, Elsevier, vol. 105(C).
    14. Yuewen Huo & Songlin Ye & Zhou Wu & Fusuo Zhang & Guohua Mi, 2022. "Barriers to the Development of Agricultural Mechanization in the North and Northeast China Plains: A Farmer Survey," Agriculture, MDPI, vol. 12(2), pages 1-14, February.
    15. Dang, Hai-Anh H & Carletto, Calogero, 2022. "Recall Bias Revisited: Measure Farm Labor Using Mixed-Mode Surveys and Multiple Imputation," IZA Discussion Papers 14997, Institute of Labor Economics (IZA).
    16. Ilia Alomía Herrera & Rose Paque & Michiel Maertens & Veerle Vanacker, 2022. "History of Land Cover Change on Santa Cruz Island, Galapagos," Land, MDPI, vol. 11(7), pages 1-24, July.
    17. Zhiqi Zheng & Hongbo Zhao & Zhengdao Liu & Jin He & Wenzheng Liu, 2021. "Research Progress and Development of Mechanized Potato Planters: A Review," Agriculture, MDPI, vol. 11(6), pages 1-27, June.
    18. Hung‐Hao Chang & Ashok K. Mishra & Tzong‐Haw Lee, 2019. "A supply‐side analysis of agritourism: Evidence from farm‐level agriculture census data in Taiwan," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(3), pages 521-548, July.
    19. Peipei Yang & Wenxu Dong & Marius Heinen & Wei Qin & Oene Oenema, 2022. "Soil Compaction Prevention, Amelioration and Alleviation Measures Are Effective in Mechanized and Smallholder Agriculture: A Meta-Analysis," Land, MDPI, vol. 11(5), pages 1-18, April.
    20. Regan, Courtney M. & Connor, Jeffery D. & Summers, David M. & Settre, Claire & O’Connor, Patrick J. & Cavagnaro, Timothy R., 2020. "The influence of crediting and permanence periods on Australian forest-based carbon offset supply," Land Use Policy, Elsevier, vol. 97(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:8:y:2020:i:9:p:1480-:d:407544. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.