Coffee maturity classification using convolutional neural networks and transfer learning

This work presents a framework for coffee maturity classification from multispectral image data based on Convolutional Neural Networks (CNNs). The system leverages the use of multispectral image acquisition systems that generate large amounts of data, by taking advantage of the ability of CNNs to ex...

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Autores:

Tamayo Monsalve, Manuel Alejandro
Mercado Ruiz, Esteban
Villa Pulgarin, Juan Pablo
Bravo Ortíz, Mario Alejandro
Arteaga Arteaga, Harold Brayan
Mora Rubio, Alejandro
Alzate Grisales, Jesús Alejandro
Arias Garzón, Daniel
Romero Cano, Víctor
Orozco Arias, Simón
Osorio, Gustavo
Tabares Soto, Reinel

Tipo de recurso:

Article of journal

Fecha de publicación:

2022

Institución:

Universidad Autónoma de Occidente

Repositorio:

RED: Repositorio Educativo Digital UAO

Idioma:

eng

OAI Identifier:

oai:red.uao.edu.co:10614/14730

Acceso en línea:

https://hdl.handle.net/10614/14730
https://red.uao.edu.co/

Palabra clave:

Redes neuronales (Computadores)
Neural networks (Computer science)
Coffee maturity classification
Convolutional neural network
Data augmentation
Deep learning
Multispectral images
Transfer learning

Rights

openAccess

License

Derechos reservados - IEEE, 2022