Updating high-resolution image dataset for the automatic classification of phenological stage and identification of racemes in Urochloa spp. hybrids with expanded images and annotations

This dataset is an expanded version of a previously published collection of high-resolution RGB images of Urochloa spp. genotypes, initially designed to facilitate automated classification of phenological stages and raceme identification in forage breeding trials. The original dataset included 2400...

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Bibliographic Details

Main Authors:	Arrechea-Castillo, Darwin Alexis, Espitia-Buitrago, Paula, Florian-Vargas, David, Estupinan, Ronald David, Velázquez-Hernández, Riquelmer, Ruiz-Hurtado, Andres Felipe, Hernandez, Luis Miguel, Jauregui, Rosa Noemi, Cardoso, Juan Andres
Format:	Journal Article
Language:	Inglés
Published:	Elsevier 2025
Subjects:	machine learning aprendizaje automático artificial intelligence forage inteligencia artificial grasses high-throughput phenotyping urochloa fenotipado de alto rendimiento imagery-computer vision imagen-visión por ordenador forraje datasets
Online Access:	https://hdl.handle.net/10568/174759