📅 24 November 2024
DOI: 10.62951/router.v2i4.287
Penggunaan Visi Komputer untuk Mengidentifiksi Jenis Buah dari Gambar
Router : Jurnal Teknik Informatika dan Terapan
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)
📄 Abstract
Computer vision technology has advanced rapidly and made significant contributions across various fields, including object identification in images. This study aims to develop a computer vision-based system to identify fruit types from images. A machine learning model is applied using a dataset of fruit images to train the system for accurate fruit recognition. The primary processes include data acquisition, image preprocessing, feature extraction, model training, and performance evaluation. The results demonstrate a high level of accuracy in identifying specific fruit types, showcasing the potential of this technology in agricultural and commercial applications.
🔖 Keywords
#Computer Vision; Fruit Recognition; Machine Learning; Object Identification; Image Classification
ℹ️ Informasi Publikasi
Tanggal Publikasi
24 November 2024
Volume / Nomor / Tahun
Volume 2, Nomor 4, Tahun 2024
📝 HOW TO CITE
Supiyandi Supiyandi; Rafif Rasendriya, "Penggunaan Visi Komputer untuk Mengidentifiksi Jenis Buah dari Gambar," Router : Jurnal Teknik Informatika dan Terapan, vol. 2, no. 4, Nov. 2024.
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