A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda

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dc.creatorRajendran, S.
dc.date2024-12
dc.date2025-02-03T16:39:04Z
dc.date2025-02-03T16:39:04Z
dc.date.accessioned2026-06-27T18:02:53Z
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/172746
dc.identifier.urihttp://hdl.handle.net/123456789/153423
dc.languageen
dc.rightsOpen Access
dc.sourceRajendran, S. 2024. A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda. International Potato Center.
dc.subjectmachine learning
dc.subjectsweet potatoes
dc.subjectseed systems
dc.subjectclimate-smart agriculture
dc.titleA Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
dc.typeBrief

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Centro Internacional de la Papa (CIP)