A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda

Detalles Bibliográficos
Autor principal: Rajendran, S.
Formato: Brief
Lenguaje:Inglés
Publicado: 2024
Materias:
Acceso en línea:https://hdl.handle.net/10568/172746
_version_ 1855541646381285376
author Rajendran, S.
author_browse Rajendran, S.
author_facet Rajendran, S.
author_sort Rajendran, S.
collection Repository of Agricultural Research Outputs (CGSpace)
format Brief
id CGSpace172746
institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
publishDateSort 2024
record_format dspace
spelling CGSpace1727462025-11-06T13:54:26Z A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda Rajendran, S. machine learning sweet potatoes seed systems climate-smart agriculture 2024-12 2025-02-03T16:39:04Z 2025-02-03T16:39:04Z Brief https://hdl.handle.net/10568/172746 en Open Access application/pdf Rajendran, S. 2024. A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda. International Potato Center.
spellingShingle machine learning
sweet potatoes
seed systems
climate-smart agriculture
Rajendran, S.
A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title_full A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title_fullStr A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title_full_unstemmed A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title_short A Machine Learning Approach for Estimating sweetpotato Cultivation Areas in Uganda
title_sort machine learning approach for estimating sweetpotato cultivation areas in uganda
topic machine learning
sweet potatoes
seed systems
climate-smart agriculture
url https://hdl.handle.net/10568/172746
work_keys_str_mv AT rajendrans amachinelearningapproachforestimatingsweetpotatocultivationareasinuganda
AT rajendrans machinelearningapproachforestimatingsweetpotatocultivationareasinuganda