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Enhancing oil palm segmentation model with GAN-based augmentation

Abstract In digital agriculture, accurate crop detection is fundamental to developing automated systems for efficient plantation management. For oil palm, the main challenge lies in developing robust models that perform well in different environmental conditions. This study addresses the feasibility...

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Principais autores: Qi Bin Kwong, Yee Thung Kon, Wan Rusydiah W. Rusik, Mohd Nor Azizi Shabudin, Shahirah Shazana A. Rahman, Harikrishna Kulaveerasingam, David Ross Appleton
Formato: Artigo
Idioma:Inglês
Publicado em: SpringerOpen 2024-09-01
coleção:Journal of Big Data
Assuntos:
Oil palm segmentation
GAN
Object detection
Object segmentation
Data augmentation
Vision transformer
Acesso em linha:https://doi.org/10.1186/s40537-024-00990-x
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