Addressing Class Imbalance in Oil Palm Disease and Micronutrient Deficiency Detection Using Meta-Learned Transfer Metric Learning
Class imbalance is a major challenge in oil palm disease and nutrient deficiency detection, where healthy samples dominate while diseased or deficient cases are underrepresented, often leading to biased models with high false-negative rates. To address this issue, this study proposes MetaTMLDA (Meta...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Ikatan Ahli Informatika Indonesia
2025-10-01
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| coleção: | Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) |
| Assuntos: | |
| Acesso em linha: | https://jurnal.iaii.or.id/index.php/RESTI/article/view/6857 |
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