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Inka Rizky Padya

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Open access Oct 2026

IMPROVING THE PERFORMANCE OF A SUPPORT VECTOR MACHINE BY USING FEATURES EXTRACTED FROM MOBILENETV2 FOR IDENTIFYING COFFEE PLANT DISEASES IN PAGAR ALAM

Delays and inaccuracies in the early detection of plant diseases contribute to the decline in coffee productivity in Pagar Alam City. This study aims to optimize the performance of the Support Vector Machine (SVM) by utilizing MobileNetV2 as a feature extractor to improve the accuracy of coffee leaf disease classificat...

N. Nurmaleni, Febriansyah Febriansyah, Inka Rizky Padya et al. · 0 citations

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