Computer vision method to determine the quality of Chrysanthemum cuttings through their leaf morphology

ABSTRACT : In this work, a new computer vision method is proposed to classify Chrysanthemum cuttings through their leaf morphological traits, which can optimize the selection of ideal cuttings for rooting in the plant propagation process. The implementation of the method was divided into two stages:...

Full description

Autores:

Pavas Henao, Juan Guillermo

Tipo de recurso:

Fecha de publicación:

2025

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/45686

Acceso en línea:

https://hdl.handle.net/10495/45686

Palabra clave:

Computer vision
Visión por ordenador
Image processing
Proceso de imágenes
Machine learning
Aprendizaje automático
Plant propagation
Plantas - Multiplicación
Chrysanthemum
http://aims.fao.org/aos/agrovoc/c_1599
http://id.loc.gov/authorities/subjects/sh85029549
http://id.loc.gov/authorities/subjects/sh85064446
http://id.loc.gov/authorities/subjects/sh85079324
http://id.loc.gov/authorities/subjects/sh85102802
Computer vision

Rights

embargoedAccess

License

http://creativecommons.org/licenses/by-nc-sa/4.0/