Deep learning model for recognizing fresh and rotten fruits in industrial processes
The detection of fruit condition is essential to ensure quality control in industrial processes. Currently, this task is often performed manually, which is inefficient and time-consuming for operators. Therefore, it is crucial to implement emerging technologies that reduce human effort, costs, and p...
- Autores:
-
Carlos Arias
Camilo Baldovino
José Gómez
Brian Restrepo
Sánchez, Sergio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2025
- Institución:
- Universidad Tecnológica de Bolívar
- Repositorio:
- Repositorio Institucional UTB
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.utb.edu.co:20.500.12585/14168
- Acceso en línea:
- https://hdl.handle.net/20.500.12585/14168
https://doi.org/10.32397/tesea.vol6.n1.811
- Palabra clave:
- Artificial intelligence
Machine learning
Deep learning
detection
- Rights
- openAccess
- License
- Carlos Arias, Camilo Baldovino, José Gómez, Brian Restrepo, Sergio Sánchez - 2025
