Claim Missing Document
Check
Articles

Found 1 Documents
Search

Pengembangan Perangkat Lunak Untuk Pengelompokkan Tumbuhan Berdasarkan Citra Digital Daun Menggunakan CNN Chelsea Oktaviany
KALBISIANA Jurnal Sains, Bisnis dan Teknologi Vol. 8 No. 2 (2022): Kalbisiana
Publisher : UNIVERSITAS KALBIS

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to develop software to classify plants based on digital images of leaves, the data is used as training data is 222 data which is divided into 4 data groups. While the testing data is used in this study is 45 data. The method is used in this study is Convolutional Neural Network which is applied using Tensorflow Keras. From results of the study, algorithm produces an accuracy value of 20% on testing data and 96.29% on training data with 50 epochs.