Leveraging edge artificial intelligence for sustainable agriculture

Moussa El Jarroudi (), Louis Kouadio, Philippe Delfosse, Clive H. Bock, Anne-Katrin Mahlein, Xavier Fettweis (), Benoit Mercatoris, Frank Adams, Jillian M. Lenné and Said Hamdioui ()
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Moussa El Jarroudi: University of Liège
Louis Kouadio: University of Southern Queensland
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

Nature Sustainability, 2024, vol. 7, issue 7, 846-854

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41893-024-01352-4

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