Automated Ripeness Detection of Oil Palm Fruit Using a Hybrid GLCM-HSV-KNN Model

Accurately determining the ripeness of oil palm fruit is crucial for ensuring the quality of palm oil. However, traditional manual methods are often time-consuming and less accurate. This study aimed to develop an automated system for detecting the ripeness of oil palm fruit by combining the Hue Sat...

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Autores principales:	Mirfan, Billy Eden William Asrul, Mila Jumarlis, Juliani Juliani
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Ikatan Ahli Informatika Indonesia 2025-10-01
Colección:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Materias:	hsv glcm knn image processing oil palm fruit ripeness
Acceso en línea:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/6683
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