AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach
Loading...
Date Issued
Date Online
Language
en
Type
Review Status
Access Rights
Open Access
Usage Rights
Metadata
Full item pageCitation
Arrechea Castillo, D.A.; Espitia Buitrago, P.; Arboleda, R.D.; Florian Vargas, D.; Jauregui, R.N.; Cardoso, J.A. (2024) AI-powered high-throughput phenotyping of seed yield in Urochloa: a deep learning approach. Poster prepared for the 8th International Plant Phenotyping Symposium. Nebraska (USA), 7-11 October 2024. 1 p.
Permanent link to cite or share this item
External link to download this item
DOI
Abstract/Description
Author ORCID identifiers
Darwin Alexis Arrechea-Castillo https://orcid.org/0000-0002-2395-2181
Paula Espitia-Buitrago https://orcid.org/0000-0002-6610-1491
Rosa Noemi Jauregui https://orcid.org/0000-0002-1058-3735
Juan Andrés Cardoso Arango https://orcid.org/0000-0002-0252-4655
Paula Espitia-Buitrago https://orcid.org/0000-0002-6610-1491
Rosa Noemi Jauregui https://orcid.org/0000-0002-1058-3735
Juan Andrés Cardoso Arango https://orcid.org/0000-0002-0252-4655
Contributes to SDGs
