Factors affecting deep learning model performance in citizen science–based image data collection for agriculture: A case study on coffee crops
Loading...
Date Issued
Date Online
Language
en
Type
Review Status
Peer Review
Access Rights
Open Access
Usage Rights
Metadata
Full item pageCitation
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
Permanent link to cite or share this item
External link to download this item
Abstract/Description
Author ORCID identifiers
Juan Camilo Rivera-Palacio https://orcid.org/0000-0002-1423-3396
Christian Bunn https://orcid.org/0000-0003-2175-8745
Masahiro Ryo https://orcid.org/0000-0002-5271-3446
Christian Bunn https://orcid.org/0000-0003-2175-8745
Masahiro Ryo https://orcid.org/0000-0002-5271-3446
Contributes to SDGs
