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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: Hartono Hartono, Erianto Ongko
Format: Artigo
Sprog:Inglês
Udgivet: Ikatan Ahli Informatika Indonesia 2025-10-01
Serier:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Fag:
class imbalance
oil palm
transfer metric learning
mw-fixmatch
metatmlda
Online adgang:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6857
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