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Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?

Author

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  • Beatrice Garske

    (Research Unit Sustainability and Climate Policy, 04229 Leipzig, Germany
    Faculty of Agricultural and Environmental Sciences, University of Rostock, 18051 Rostock, Germany)

  • Antonia Bau

    (Research Unit Sustainability and Climate Policy, 04229 Leipzig, Germany
    Faculty of Law, Humboldt-University Berlin, 10099 Berlin, Germany)

  • Felix Ekardt

    (Research Unit Sustainability and Climate Policy, 04229 Leipzig, Germany
    Faculty of Law, University of Rostock, 18051 Rostock, Germany
    Interdisciplinary Faculty, University of Rostock, 18051 Rostock, Germany)

Abstract

This article analyzes the environmental opportunities and limitations of digitalization in the agricultural sector by applying qualitative governance analysis. Agriculture is recognized as a key application area for digital technologies, including artificial intelligence. This is not least because it faces major sustainability challenges, especially with regard to meeting the climate and biodiversity targets set out in the Paris Agreement and the Convention on Biological Diversity, as well as the water-related objectives of EU environmental legislation. Based on an overview of the possible applications of digital technologies in agriculture, the article offers a status quo analysis of legal acts with relevance to digitalization in the EU agricultural sector. It is found that a reliable legal framework with regard to product liability and product safety, as well as data privacy, data access, and data security is important in this context. In addition, the European Common Agricultural Policy, as the most important funding instrument for digital innovations in the agricultural sector, should be designed in such a way that it links digitalization-related objectives more closely with sustainability targets. So far, the existing EU governance does not fully exploit the potentials of digitalization for environmental protection, and sight is lost of possible negative side effects such as rebound and shifting effects. Therefore, the article also offers proposals for the optimization of EU governance.

Suggested Citation

  • Beatrice Garske & Antonia Bau & Felix Ekardt, 2021. "Digitalization and AI in European Agriculture: A Strategy for Achieving Climate and Biodiversity Targets?," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:9:p:4652-:d:540995
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    References listed on IDEAS

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    6. Aaron Chimbelya Siyunda & Emmanuel Chikalipa & Tibonge Mfune & Rodrick Habvumba, 2022. "Digitalizing Agriculture for Sustainable Crop production," International Journal of Science and Business, IJSAB International, vol. 11(1), pages 55-61.
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    9. Weikun Zhang & Peng Gao & Zhe Chen & Hailan Qiu, 2023. "Preventing Agricultural Non-Point Source Pollution in China: The Effect of Environmental Regulation with Digitization," IJERPH, MDPI, vol. 20(5), pages 1-17, March.
    10. Xinxin Zhou & Tong Chen & Bangbang Zhang, 2023. "Research on the Impact of Digital Agriculture Development on Agricultural Green Total Factor Productivity," Land, MDPI, vol. 12(1), pages 1-20, January.
    11. Ayman Issa & Mohammad A. A. Zaid, 2023. "Firm's biodiversity initiatives disclosure and board gender diversity: A multi‐country analysis of corporations operating in Europe," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4991-5007, November.
    12. Metta, Matteo & Ciliberti, Stefano & Obi, Chinedu & Bartolini, Fabio & Klerkx, Laurens & Brunori, Gianluca, 2022. "An integrated socio-cyber-physical system framework to assess responsible digitalisation in agriculture: A first application with Living Labs in Europe," Agricultural Systems, Elsevier, vol. 203(C).
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