Leveraging edge artificial intelligence for sustainable agriculture

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cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationAfrica Rice Centeren_US
cg.contributor.affiliationUniversity of Southern Queenslanden_US
cg.contributor.affiliationUniversité du Luxembourgen_US
cg.contributor.affiliationInstitute of Sugar Beet Researchen_US
cg.contributor.affiliationUniversity of Liègeen_US
cg.contributor.affiliationLycée Technique Agricole de Gilsdorfen_US
cg.contributor.affiliationNorth Oldmoss Croften_US
cg.contributor.affiliationDelft University of Technologyen_US
cg.contributor.donorDeutsche Forschungsgemeinschaften_US
cg.contributor.donorEU Horizon Europe research and innovation programen_US
cg.contributor.donorCGIAR Trust Funden_US
cg.contributor.initiativeExcellence in Agronomyen_US
cg.coverage.regionAfricaen_US
cg.creator.identifierLouis Kouadio :0000-0001-9669-7807en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.doihttps://doi.org/10.1038/s41893-024-01352-4en_US
cg.identifier.urlhttps://www.nature.com/articles/s41893-024-01352-4en_US
cg.isijournalISI Journalen_US
cg.issn2398-9629en_US
cg.issue7en_US
cg.journalNature Sustainabilityen_US
cg.reviewStatusPeer Reviewen_US
cg.subject.actionAreaResilient Agrifood Systemsen_US
cg.subject.impactAreaPoverty reduction, livelihoods and jobsen_US
cg.subject.impactPlatformPoverty Reduction, Livelihoods and Jobsen_US
cg.volume7en_US
dc.contributor.authorEl Jarroudi, M.en_US
dc.contributor.authorKouadio, L.en_US
dc.contributor.authorDelfosse, P.en_US
dc.contributor.authorBock, C. H.en_US
dc.contributor.authorMahlein, A. K.en_US
dc.contributor.authorFettweis, X.en_US
dc.contributor.authorMercatoris, B.en_US
dc.contributor.authorAdams, F.en_US
dc.contributor.authorLenné, J. M.en_US
dc.contributor.authorHamdioui, S.en_US
dc.date.accessioned2024-12-03T11:39:06Zen_US
dc.date.available2024-12-03T11:39:06Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/162970en_US
dc.titleLeveraging edge artificial intelligence for sustainable agricultureen_US
dcterms.abstractEffectively 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.en_US
dcterms.accessRightsLimited Accessen_US
dcterms.audienceCGIARen_US
dcterms.audienceDonorsen_US
dcterms.audienceScientistsen_US
dcterms.available2024-06-10en_US
dcterms.bibliographicCitationEl Jarroudi, M., Kouadio, L., Delfosse, P., Bock, C. H., Mahlein, A. K., Fettweis, X., Mercatoris, B., Adams, F., Lenné, J. M. and Hamdioui, S. 2024. Leveraging edge artificial intelligence for sustainable agriculture. Nature Sustainability 7(7):846-854.en_US
dcterms.extent846-854en_US
dcterms.issued2024-06-10en_US
dcterms.languageenen_US
dcterms.licenseOtheren_US
dcterms.subjectArtificial intelligenceen_US
dcterms.subjectsustainable agricultureen_US
dcterms.typeJournal Articleen_US

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