Identificación de punto de corte de rosas grandifloras por medio de machine learning con apoyo de visión artificial

This degree project uses machine learning methods in order to apply the most suitable one in the project of identifying grandiflora roses with the support of artificial vision. An identification of the methods that could work was made, once the method was chosen (neural networks) a hybrid database was created between existing databases on the Internet and images taken by a camera in order to train the model. Said model was trained under different conditions, varying the amount of data and number of training periods, thus giving different favorable results greater than 65%. This procedure was carried out with the identification of the distance, the stem and the state of the flower. Finally, a code was created that would read all models and print an XYZ coordinate on the screen with the location of the center of the stem along with the state of the flower.

• Fecha de publicación: 2025
• Institución: Universidad de América
• Repositorio: Lumieres
• Idioma: spa
• OAI Identifier: oai:repository.uamerica.edu.co:20.500.11839/9759
• Acceso en línea: https://hdl.handle.net/20.500.11839/9759
• Palabra clave: Bases de datos; Punto de corte; Redes neurales; Databases; Cutting point; Neural networks; Tesis y disertaciones académicas
• License: Atribución – No comercial – Sin Derivar