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Smart Farming Technologies in Arable Farming: Towards a Holistic Assessment of Opportunities and Risks

Author

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  • Sebastian Lieder

    (Department of Economics, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany)

  • Christoph Schröter-Schlaack

    (Department of Economics, Helmholtz-Centre for Environmental Research-UFZ, 04318 Leipzig, Germany)

Abstract

Agricultural production finds itself in an area of tension. As a critical infrastructure, it has the task of reliably feeding a growing global population and supplying it with energy. However, the negative environmental impacts caused by agriculture, such as the global loss of biodiversity and the emission of greenhouse gases, are to be reduced. The increasing use of digital technologies is often described as a panacea that enables sustainable agriculture. The relevant literature is very dynamic, but the large number of concepts and terminologies used makes it difficult to obtain an overall view. In addition, many contributions focus on presumed or modeled efficiency gains, but this ignores technical and societal prerequisites and barriers. Therefore, the aim of this work was to identify the opportunities and risks of smart farming (SF) for more ecological arable farming. For this purpose, a holistic and environmental view was taken. The potential of SF to aid in the reduction in the environmental impacts of individual agricultural work steps was examined via an analysis of current literature. In addition, rebound effects, acceptance barriers and political omissions were considered as risks that prevent the benefits from being realized. It was shown that SF is able to contribute to a significant reduction in the negative environmental effects of agriculture. In particular, a reduction in fertilizer and pesticide application rates through mapping, sensing and precise application can lead to environmental benefits. However, achieving this requires the minimization of existing risks. For this reason, a proactive role of the state is required, implementing the necessary governance measures.

Suggested Citation

  • Sebastian Lieder & Christoph Schröter-Schlaack, 2021. "Smart Farming Technologies in Arable Farming: Towards a Holistic Assessment of Opportunities and Risks," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6783-:d:575582
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    References listed on IDEAS

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    1. Silvia Rolandi & Gianluca Brunori & Manlio Bacco & Ivano Scotti, 2021. "The Digitalization of Agriculture and Rural Areas: Towards a Taxonomy of the Impacts," Sustainability, MDPI, vol. 13(9), pages 1-16, May.
    2. Pfeiffer, Lisa & Lin, C.-Y. Cynthia, 2014. "Does efficient irrigation technology lead to reduced groundwater extraction? Empirical evidence," Journal of Environmental Economics and Management, Elsevier, vol. 67(2), pages 189-208.
    3. Schmidthuber, Lisa & Maresch, Daniela & Ginner, Michael, 2020. "Disruptive technologies and abundance in the service sector - toward a refined technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    4. Pivoto, Diesson & Barham, Bradford & Dabdab, Paulo & Zhang, Debin & Talamin, Edson, 2019. "Factors influencing the adoption of smart farming by Brazilian grain farmers," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 22(4), April.
    5. 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.
    6. Padilla, Francisco M. & Farneselli, Michela & Gianquinto, Giorgio & Tei, Francesco & Thompson, Rodney B., 2020. "Monitoring nitrogen status of vegetable crops and soils for optimal nitrogen management," Agricultural Water Management, Elsevier, vol. 241(C).
    7. Simon G. Potts & Vera Imperatriz-Fonseca & Hien Ngo & Jacobus C. Biesmeijer & Tom Breeze & Lynn Dicks & Luigi Garibaldi & Josef Settele & A.J. Vanbergen & Marcelo A. Aizen & Saul A. Cunningham & Conna, 2016. "Summary for policymakers of the assessment report of the Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) on pollinators, pollination and food production," Post-Print hal-01946814, HAL.
    8. 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.
    9. Tei, Francesco & De Neve, Stefaan & de Haan, Janjo & Kristensen, Hanne Lakkenborg, 2020. "Nitrogen management of vegetable crops," Agricultural Water Management, Elsevier, vol. 240(C).
    10. 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.
    11. Haoyang Li & Jinhua Zhao, 2018. "Rebound Effects of New Irrigation Technologies: The Role of Water Rights," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 100(3), pages 786-808.
    12. Nahry, A.H. El & Ali, R.R. & Baroudy, A.A. El, 2011. "An approach for precision farming under pivot irrigation system using remote sensing and GIS techniques," Agricultural Water Management, Elsevier, vol. 98(4), pages 517-531, February.
    13. Molle, François & Tanouti, Oumaima, 2017. "Squaring the circle: Agricultural intensification vs. water conservation in Morocco," Agricultural Water Management, Elsevier, vol. 192(C), pages 170-179.
    14. Athanasios Balafoutis & Bert Beck & Spyros Fountas & Jurgen Vangeyte & Tamme Van der Wal & Iria Soto & Manuel Gómez-Barbero & Andrew Barnes & Vera Eory, 2017. "Precision Agriculture Technologies Positively Contributing to GHG Emissions Mitigation, Farm Productivity and Economics," Sustainability, MDPI, vol. 9(8), pages 1-28, July.
    15. Hamed Taherdoost, 2018. "A review of technology acceptance and adoption models and theories," Post-Print hal-03741843, HAL.
    16. Berbel, J. & Mateos, L., 2014. "Does investment in irrigation technology necessarily generate rebound effects? A simulation analysis based on an agro-economic model," Agricultural Systems, Elsevier, vol. 128(C), pages 25-34.
    17. Louis Sears & Joseph Caparelli & Clouse Lee & Devon Pan & Gillian Strandberg & Linh Vuu & C. -Y. Cynthia Lin Lawell, 2018. "Jevons’ Paradox and Efficient Irrigation Technology," Sustainability, MDPI, vol. 10(5), pages 1-12, May.
    18. Berkhout, Peter H. G. & Muskens, Jos C. & W. Velthuijsen, Jan, 2000. "Defining the rebound effect," Energy Policy, Elsevier, vol. 28(6-7), pages 425-432, June.
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    Cited by:

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    2. Catherine E. Sanders & Kristin E. Gibson & Alexa J. Lamm, 2022. "Rural Broadband and Precision Agriculture: A Frame Analysis of United States Federal Policy Outreach under the Biden Administration," Sustainability, MDPI, vol. 14(1), pages 1-15, January.
    3. Jauernig, Johanna & Brosig, Stephan & Hüttel, Silke, 2023. "Profession and residency matter: Farmers' preferences for farmland price regulation in Germany," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 74(3), pages 816-834.
    4. Pan Rao & Xiaojin Liu & Shubin Zhu & Xiaolan Kang & Xinglei Zhao & Fangting Xie, 2022. "Does the Application of ICTs Improve the Efficiency of Agricultural Carbon Reduction? Evidence from Broadband Adoption in Rural China," IJERPH, MDPI, vol. 19(13), pages 1-19, June.

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