Development of YOLO-Based Mobile Application for Detection of Defect Types in Robusta Coffee Beans

Improving the quality of Robusta coffee beans is a crucial challenge in the coffee industry to ensure that consumers receive high-quality products. However, the identification of defects in coffee beans is still largely performed manually, making the process error-prone and time-consuming. This stud...

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Autores principales:	Eko Dwi Nugroho, Miranti Verdiana, Muhammad Habib Algifari, Aidil Afriansyah, Hafiz Budi Firmansyah, Alya Khairunnisa Rizkita, Richard Arya Winarta, David Gunawan
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Politeknik Negeri Batam 2025-01-01
Colección:	Journal of Applied Informatics and Computing
Materias:	robusta yolo coffee beans
Acceso en línea:	https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8886
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