BananaGAN : Augmenting major banana disease detection using generated diseased pseudostem and rachis images
Early detection and timely management of crop diseases are essential for reducing yield loss. Traditional manual inspection is often time-consuming, laborious, and biased. Recently, automated imaging techniques have been successfully applied to the detection of crop diseases. Almost this type of res...
- Autores:
-
Vergara, Javier Alejandro
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Pontificia Universidad Javeriana Cali
- Repositorio:
- Vitela
- Idioma:
- eng
- OAI Identifier:
- oai:vitela.javerianacali.edu.co:11522/2021
- Acceso en línea:
- https://vitela.javerianacali.edu.co/handle/11522/2021
- Palabra clave:
- Artificial intelligence
Generative adversarial networks
Deep learning
Disease detection
Data augmentation
Pseudostem
rachis
Synthetic dat
- Rights
- License
- https://creativecommons.org/licenses/by-nc-nd/4.0/