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Digital Technologies Towards Resource Efficiency in the Agrifood Sector: Key Challenges in Developing Countries

Author

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  • Foivos Anastasiadis

    (Centre for International Manufacturing, Institute for Manufacturing (IfM), Department of Engineering, School of Technology, University of Cambridge, Cambridge CB3 0FS, UK)

  • Naoum Tsolakis

    (Centre for International Manufacturing, Institute for Manufacturing (IfM), Department of Engineering, School of Technology, University of Cambridge, Cambridge CB3 0FS, UK)

  • Jagjit Singh Srai

    (Centre for International Manufacturing, Institute for Manufacturing (IfM), Department of Engineering, School of Technology, University of Cambridge, Cambridge CB3 0FS, UK)

Abstract

Resource efficiency in the agri-food sector is a global urgent issue considering the urbanisation phenomena, the increased nutritional needs, and the emergence of diversified dietary norms. Despite the ongoing progress in digital technologies that could enable resource-efficient operations in the sector, their effectiveness—even in developed countries—remains debateable mainly due to the limited understanding that further impedes their adoption by farmers. Among others, ease of access, training, and engagement with digital technologies appears to be challenging for most stakeholders, especially during the production (farming) stage. Specifically, in developing countries, that often encounter major natural resources challenges, the diverse socio-cultural background of the farmers hinders the adoption of digital technologies to perform highly automated and efficient agricultural operations for ensuring sustainability output. In this regard, we explore publicly available data sources (i.e., institutional reports, databases) to identify key challenges in adopting digital technologies for efficient resource use from a systems-level perspective. Thereafter, we map the determinant factors using the System Dynamics methodology in order to identify areas of interventions to limit natural resources’ appropriation and support agri-food sustainability.

Suggested Citation

  • Foivos Anastasiadis & Naoum Tsolakis & Jagjit Singh Srai, 2018. "Digital Technologies Towards Resource Efficiency in the Agrifood Sector: Key Challenges in Developing Countries," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4850-:d:191712
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    References listed on IDEAS

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    3. Yeboah, Samuel, 2023. "Unlocking the Potential of Technological Innovations for Sustainable Agriculture in Developing Countries: Enhancing Resource Efficiency and Environmental Sustainability," MPRA Paper 118215, University Library of Munich, Germany, revised 26 Jul 2023.
    4. Agnieszka A. Tubis & Katarzyna Grzybowska & Bartosz Król, 2023. "Supply Chain in the Digital Age: A Scientometric–Thematic Literature Review," Sustainability, MDPI, vol. 15(14), pages 1-25, July.
    5. Tianjian Yang & Ye Li & Simin Zhou & Yu Zhang, 2019. "Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    6. Tadesse Kenea Amentae & Girma Gebresenbet, 2021. "Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    7. Yeboah, Samuel, 2023. "Unlocking the Potential of Technological Innovations for Sustainable Agriculture in Developing Countries: Enhancing Resource Efficiency and Environmental Sustainability," MPRA Paper 118216, University Library of Munich, Germany, revised 04 Aug 2023.
    8. Ana Esteso & M. M. E. Alemany & Angel Ortiz & Shaofeng Liu, 2022. "Optimization model to support sustainable crop planning for reducing unfairness among farmers," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 1101-1127, September.

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