Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops

Detalles Bibliográficos
Autores principales: Rivera-Palacio, Juan Camilo, Bunn, Christian, Ryo, Masahiro
Formato: Journal Article
Lenguaje:Inglés
Publicado: Elsevier 2025
Materias:
Acceso en línea:https://hdl.handle.net/10568/173163
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author Rivera-Palacio, Juan Camilo
Bunn, Christian
Ryo, Masahiro
author_browse Bunn, Christian
Rivera-Palacio, Juan Camilo
Ryo, Masahiro
author_facet Rivera-Palacio, Juan Camilo
Bunn, Christian
Ryo, Masahiro
author_sort Rivera-Palacio, Juan Camilo
collection Repository of Agricultural Research Outputs (CGSpace)
format Journal Article
id CGSpace173163
institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
publisher Elsevier
publisherStr Elsevier
record_format dspace
spelling CGSpace1731632025-11-11T19:08:55Z Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops Rivera-Palacio, Juan Camilo Bunn, Christian Ryo, Masahiro machine learning coffee vision 2025-05 2025-02-18T12:43:12Z 2025-02-18T12:43:12Z Journal Article https://hdl.handle.net/10568/173163 en Open Access application/pdf Elsevier Rivera-Palacio, J.C.; Bunn, C.; Ryo, M. (2025) Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops. Computers and Electronics in Agriculture 232: 110096. ISSN: 0168-1699
spellingShingle machine learning
coffee
vision
Rivera-Palacio, Juan Camilo
Bunn, Christian
Ryo, Masahiro
Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title_full Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title_fullStr Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title_full_unstemmed Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title_short Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
title_sort factors affecting deep learning model performance in citizen science based image data collection for agriculture a case study on coffee crops
topic machine learning
coffee
vision
url https://hdl.handle.net/10568/173163
work_keys_str_mv AT riverapalaciojuancamilo factorsaffectingdeeplearningmodelperformanceincitizensciencebasedimagedatacollectionforagricultureacasestudyoncoffeecrops
AT bunnchristian factorsaffectingdeeplearningmodelperformanceincitizensciencebasedimagedatacollectionforagricultureacasestudyoncoffeecrops
AT ryomasahiro factorsaffectingdeeplearningmodelperformanceincitizensciencebasedimagedatacollectionforagricultureacasestudyoncoffeecrops