Revolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning

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dc.contributor.authorEric Hitimana
dc.contributor.authorMartin Kuradusenge
dc.contributor.authorOmar Janvier Sinayobye
dc.contributor.authorChrysostome Ufitinema
dc.contributor.authorJane Mukamugema
dc.contributor.authorTheoneste Murangira
dc.contributor.authorEmmanuel Masabo
dc.contributor.authorPeter Rwibasira
dc.contributor.authorDiane Aimee Ingabire
dc.contributor.authorSimplice Niyonzima
dc.contributor.authorGaurav Bajpai
dc.contributor.authorSimon Martin Mvuyekure
dc.contributor.authorJackson Ngabonziza
dc.date.accessioned2024-08-14T11:15:47Z
dc.date.available2024-08-14T11:15:47Z
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/3763
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc004
dc.titleRevolutionizing Coffee Farming: A Mobile App with GPS-Enabled Reporting for Rapid and Accurate On-Site Detection of Coffee Leaf Diseases Using Integrated Deep Learning
dc.typepdf
dspace.entity.typeDistribution
relation.isDatasetOfDistribution9a7301c4-e02a-47a2-97c1-cda078b3b811
relation.isDatasetOfDistribution.latestForDiscovery9a7301c4-e02a-47a2-97c1-cda078b3b811

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