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A Reference Standard Process Model for Agriculture to Facilitate Efficient Implementation and Adoption of Precision Agriculture

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  • Rok Rupnik

    (Faculty of Computer and Information Science, University of Ljubljana, Večna Pot 113, 1000 Ljubljana, Slovenia)

  • Damjan Vavpotič

    (Faculty of Computer and Information Science, University of Ljubljana, Večna Pot 113, 1000 Ljubljana, Slovenia)

  • Jurij Jaklič

    (School of Economics and Business, University of Ljubljana, Kardeljeva Ploščad 17, 1000 Ljubljana, Slovenia)

  • Aleš Kuhar

    (Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia)

  • Miroslav Plavšić

    (Faculty of Agriculture, University of Novi Sad, Trg Dositeja Obradovića 8, 21000 Novi Sad, Serbia)

  • Boštjan Žvanut

    (Faculty of Health Sciences, University of Primorska, Polje 42, 6310 Izola, Slovenia)

Abstract

Agriculture is a sector that today demands even greater efficiency; thus, it relies extensively on the use of precision agriculture technologies: IoT systems, mobile applications, and other digitalization technologies. Experience from a large-scale EU-funded project with a consortium made up of several software companies shows that software companies have a different and unequal knowledge/understanding of agricultural processes and the use of precision agriculture in agricultural processes. This finding coupled with what is known about the standard process model for IT governance (COBIT) triggered the idea of a reference standard process model for agriculture (RSPMA), which we present in this paper. We applied the Delphi technique to assess the RSPMA and evaluate its potential implementation in the area of agriculture. A panel of 20 members from Slovenia, Romania, Croatia, and Serbia was established for the study. The majority of RSPMA elements were identified as appropriate for the use in agriculture by the panel. The study results show that RSPMA is suitable for use in this field.

Suggested Citation

  • Rok Rupnik & Damjan Vavpotič & Jurij Jaklič & Aleš Kuhar & Miroslav Plavšić & Boštjan Žvanut, 2021. "A Reference Standard Process Model for Agriculture to Facilitate Efficient Implementation and Adoption of Precision Agriculture," Agriculture, MDPI, vol. 11(12), pages 1-22, December.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:12:p:1257-:d:700216
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    References listed on IDEAS

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    1. Mathias Kirchmer, 2011. "Reference Models to Empower MPE," Springer Books, in: High Performance Through Process Excellence, chapter 0, pages 87-101, Springer.
    2. Robertson R.B. Khataza & Atakelty Hailu & Graeme J. Doole & Marit E. Kragt & Arega D. Alene, 2019. "Examining the relationship between farm size and productive efficiency: a Bayesian directional distance function approach," Agricultural Economics, International Association of Agricultural Economists, vol. 50(2), pages 237-246, March.
    3. Uma Lele & Sambuddha Goswami, 2017. "The fourth industrial revolution, agricultural and rural innovation, and implications for public policy and investments: a case of India," Agricultural Economics, International Association of Agricultural Economists, vol. 48(S1), pages 87-100, November.
    4. Magdalena Gorzelany-Dziadkowiec, 2021. "COVID-19: Business Innovation Challenges," Sustainability, MDPI, vol. 13(20), pages 1-21, October.
    5. Alvarez Etxeberria, Igor & Garayar, Ainhoa & Calvo Sánchez, José Antonio, 2015. "Development of sustainability reports for farming operations in the Basque Country using the Delphi method," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(1), pages 44-54.
    6. Mathias Kirchmer, 2011. "High Performance Through Process Excellence," Springer Books, Springer, number 978-3-642-21165-2, July.
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    Cited by:

    1. Sergio Monteleone & Edmilson Alves de Moraes & Roberto Max Protil & Brenno Tondato de Faria & Rodrigo Filev Maia, 2024. "Proposal of a Model of Irrigation Operations Management for Exploring the Factors That Can Affect the Adoption of Precision Agriculture in the Context of Agriculture 4.0," Agriculture, MDPI, vol. 14(1), pages 1-33, January.
    2. Gonçalo C. Rodrigues, 2022. "Precision Agriculture: Strategies and Technology Adoption," Agriculture, MDPI, vol. 12(9), pages 1-4, September.

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