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Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers

Author

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  • Oksana Hrynevych

    (Department of General Economics, Faculty of Economics and Business, University of Cadiz, Avenue Enrique Villegas Velez, 2, 11002 Cadiz, Spain)

  • Miguel Blanco Canto

    (Department of General Economics, Faculty of Economics and Business, University of Cadiz, Avenue Enrique Villegas Velez, 2, 11002 Cadiz, Spain)

  • Mercedes Jiménez García

    (Department of General Economics, Faculty of Social Sciences and Communication, University of Cadiz, Avenue de la Universidad, 4, 11406 Jerez, Spain)

Abstract

Precision farming innovations are designed to improve the efficiency of agricultural activities via minimal initial input of material and human resources and avoiding harmful effects on the environment on one hand and automatizing the production on another hand, thus providing environmental, social and economic benefits. In the article, the tendencies in the adoption of precision agriculture technologies (PAT) in Ukraine were observed, with a specific focus on cooperatives as a valuable tool of social and solidarity economy helping to achieve progress in local rural development. On the example of cooperatives, applying a technology acceptance model (TAM) has identified how the adoption of new smart farming tools influence their behavior in implementing technological innovations. The results of the study will be of particular interest to representatives of other cooperatives and to agribusiness players engaged in agriculture or software development. In addition, the outputs will be useful for researchers in the field of the socio-economic development of territories and the impact of new technologies on it, as well as for local governments and higher-level government officials, which can contribute to the implementation of better rural development strategies.

Suggested Citation

  • Oksana Hrynevych & Miguel Blanco Canto & Mercedes Jiménez García, 2022. "Tendencies of Precision Agriculture in Ukraine: Disruptive Smart Farming Tools as Cooperation Drivers," Agriculture, MDPI, vol. 12(5), pages 1-15, May.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:5:p:698-:d:816324
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    References listed on IDEAS

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    1. Kathrin Hasler & Hans-Werner Olfs & Onno Omta & Stefanie Bröring, 2017. "Drivers for the Adoption of Different Eco-Innovation Types in the Fertilizer Sector: A Review," Sustainability, MDPI, vol. 9(12), pages 1-22, November.
    2. Keith H Coble & Ashok K Mishra & Shannon Ferrell & Terry Griffin, 2018. "Big Data in Agriculture: A Challenge for the Future," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 40(1), pages 79-96.
    3. Uwe Deichmann & Aparajita Goyal & Deepak Mishra, 2016. "Will digital technologies transform agriculture in developing countries?," Agricultural Economics, International Association of Agricultural Economists, vol. 47(S1), pages 21-33, November.
    4. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    5. Schimmelpfennig, David, 2016. "Farm Profits and Adoption of Precision Agriculture," Economic Research Report 249773, United States Department of Agriculture, Economic Research Service.
    6. Robert Finger & Scott M. Swinton & Nadja El Benni & Achim Walter, 2019. "Precision Farming at the Nexus of Agricultural Production and the Environment," Annual Review of Resource Economics, Annual Reviews, vol. 11(1), pages 313-335, October.
    7. 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.
    8. Barnes, A.P. & Soto, I. & Eory, V. & Beck, B. & Balafoutis, A. & Sánchez, B. & Vangeyte, J. & Fountas, S. & van der Wal, T. & Gómez-Barbero, M., 2019. "Exploring the adoption of precision agricultural technologies: A cross regional study of EU farmers," Land Use Policy, Elsevier, vol. 80(C), pages 163-174.
    9. Wolfert, Sjaak & Ge, Lan & Verdouw, Cor & Bogaardt, Marc-Jeroen, 2017. "Big Data in Smart Farming – A review," Agricultural Systems, Elsevier, vol. 153(C), pages 69-80.
    10. Farahwahida Mohd & Faudzi Ahmad & Norsila Samsudin & Suhizaz Sudin, 2011. "Extending the Technology Acceptance Model to Account for Social Influence, Trust and Integration for Pervasive Computing Environment: A Case Study in University Industry," American Journal of Economics and Business Administration, Science Publications, vol. 3(3), pages 552-559, November.
    11. Paul Diederen & Hans Van Meijl & Arjan Wolters & Katarzyna Bijak, 2003. "Innovation adoption in agriculture : innovators, early adopters and laggards," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 67, pages 29-50.
    12. Dimara, Efthalia & Skuras, Dimitris, 2003. "Adoption of agricultural innovations as a two-stage partial observability process," Agricultural Economics, Blackwell, vol. 28(3), pages 187-196, May.
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    Cited by:

    1. Xufang Zhang & Minghua Zhao & Xiaojie Wang & Rongqing Han, 2022. "Regional Differences of Farmers’ Willingness to Grow Grain and Its Influencing Factors in Shandong Province under the Background of New-Type Urbanization," Agriculture, MDPI, vol. 12(8), pages 1-21, August.
    2. Ren, Xiaocong & He, Jun & Huang, Zilong, 2023. "Innovation, natural resources abundance, climate change and green growth in agriculture," Resources Policy, Elsevier, vol. 85(PA).
    3. Nicole McDonald & Eloise S. Fogarty & Amy Cosby & Peter McIlveen, 2022. "Technology Acceptance, Adoption and Workforce on Australian Cotton Farms," Agriculture, MDPI, vol. 12(8), pages 1-16, August.
    4. Gonçalo C. Rodrigues, 2022. "Precision Agriculture: Strategies and Technology Adoption," Agriculture, MDPI, vol. 12(9), pages 1-4, September.

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