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Leveraging edge artificial intelligence for sustainable agriculture

Author

Listed:
  • Moussa El Jarroudi

    (University of Liège)

  • Louis Kouadio

    (University of Southern Queensland
    Africa Rice Center (AfricaRice))

  • Philippe Delfosse

    (Université du Luxembourg)

  • Clive H. Bock

    (USDA)

  • Anne-Katrin Mahlein

    (Institute of Sugar Beet Research)

  • Xavier Fettweis

    (University of Liège)

  • Benoit Mercatoris

    (University of Liège)

  • Frank Adams

    (Lycée Technique Agricole de Gilsdorf)

  • Jillian M. Lenné

    (North Oldmoss Croft, Fyvie)

  • Said Hamdioui

    (Delft University of Technology)

Abstract

Effectively feeding a burgeoning world population is one of the main goals of sustainable agricultural practices. Digital technology, such as edge artificial intelligence (AI), has the potential to introduce substantial benefits to agriculture by enhancing farming practices that can improve agricultural production efficiency, yield, quality and safety. However, the adoption of edge AI faces several challenges, including the need for innovative and efficient edge AI solutions and greater investment in infrastructure and training, all compounded by various environmental, social and economic constraints. Here we provide a roadmap for leveraging edge AI at the intersection of food production and sustainability.

Suggested Citation

  • Moussa El Jarroudi & Louis Kouadio & Philippe Delfosse & Clive H. Bock & Anne-Katrin Mahlein & Xavier Fettweis & Benoit Mercatoris & Frank Adams & Jillian M. Lenné & Said Hamdioui, 2024. "Leveraging edge artificial intelligence for sustainable agriculture," Nature Sustainability, Nature, vol. 7(7), pages 846-854, July.
    • Handle: RePEc:nat:natsus:v:7:y:2024:i:7:d:10.1038_s41893-024-01352-4
    DOI: 10.1038/s41893-024-01352-4
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