ICAR Research Data Repository for Knowledge Management
The KaraAgro AI Maize Dataset
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
The KaraAgro AI Maize Dataset
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| Identifier |
https://doi.org/10.7910/DVN/CXUMDS
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| Creator |
Akogo, Darlington
Samori, Issah Acquaye, Christabel Addo, Michael Amoako ,Emmanuel Ezroa-Cudjoe, Frank Buaba, Jerry Seloame, Tatu Nyaku Mavis, Agyeiwaa Bright, Hodasi Kezia, Gyasi-Darko Ababio, Yao Owusu Clinton, Darkwa Asare |
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| Publisher |
Harvard Dataverse
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| Description |
The dataset was created to provide an open and accessible maize dataset with well-labeled, sufficiently curated, and prepared maize crop imagery that will be used by data scientists, researchers, the wider machine learning community, and social entrepreneurs within Sub-saharan Africa and worldwide for various machine learning experiments so as to build solutions towards in-field maize crop disease diagnosis and spatial analysis. This maize image dataset was collected across three different classes: Healthy, Fall armyworm, and Maize Streak Virus.
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| Subject |
Agricultural Sciences
Computer and Information Science Maize |
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| Language |
English
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| Contributor |
Lab, Makerere AI
Akogo, Darlington Nakatumba-Nabende, Joyce Clinton Darkwa Asare John Eleblu Seloame Tatu Nyaku Mavis Agyeiwaa Bright Hodasi Kezia Gyasi-Darko Ababio Yaw Owusu Lawrencia Gyamfi Sarfoa Zimi Alhassan Fredrick Ansah Theresa Nyamekye Gregory Osei Bonsu Nicholas Addae Gabriel Akwetey Dennis Danquah Sophia Afful Edward Derry George Ashley-Commey John Paul Klutse Kenneth Obodai Laryea Isaac Adjei Mensah Stephen Yelsung Sylvester Decleq Mensah |
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| Type |
Image Data
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