Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Komputer dan Agri-Informatika
Bana Falakhi
Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Perbandingan Model AlexNet dan ResNet dalam Klasifikasi Citra Bunga Memanfaatkan Transfer Learning Bana Falakhi; Elmira Faustina Achmal; Muhammad Rizaldi; Renata Rizki Rafi' Athallah; Novanto Yudistira
Jurnal Ilmu Komputer dan Agri-Informatika Vol 9 No 1 (2022)
Publisher : Departemen Ilmu Komputer, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jika.9.1.70-78

Abstract

Image-based automatic flower species classification is an important issue for biologists creating digital flower catalogs. Many studies on flower species recognition have been proposed so far based on traditional image processing routines. Currently, researchers are applying deep learning to various image-based object recognition tasks. In this paper, deep learning based on transfer learning is applied to the classification of flower species. The proposed methoduses AlexNet and ResNet transfer learning models. The Flower102 dataset which has many categories is used in the experimental work. Various experimental results show that each model has achieved 87% and 96% accuracy performance for AlexNet and ResNet. Theresults obtained show that the effectiveness of the ResNet-based model is higher than the AlexNet-based model.
Co-Authors Elmira Faustina Achmal Muhammad Rizaldi Novanto Yudistira Renata Rizki Rafi' Athallah