Implementation Of Convolutional Neural Network (Cnn) Based On Mobile Application For Rice Quality Determination
The purpose of this study is to design and build a CNN deep learning program modeling for a mobile application for rice quality classification and analyze the performance of a mobile application-based classification program as a means of halal information in real time. The method applied is an exper...
Saved in:
Main Authors: | Muhammad Zainal Altim, Abdullah Basalamah, kasman kasman |
---|---|
Format: | Article |
Language: | English |
Published: |
Khairun University, Faculty of Engineering, Department of Electrical Engineering
2025-01-01
|
Series: | Protek: Jurnal Ilmiah Teknik Elektro |
Subjects: | |
Online Access: | https://ejournal.unkhair.ac.id/index.php/protk/article/view/9396 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Web-Based Database and Viewer of East Asian Copy Number Variations
by: Ji-Hong Kim, et al.
Published: (2012-03-01) -
A CNN-RF Hybrid Approach for Rice Paddy Fields Mapping in Indramayu Using Sentinel-1 and Sentinel-2 Data
by: Dodi Sudiana, et al.
Published: (2025-01-01) -
Analysis of LazLive Utilization in Mobile Applications Lazada at Sahoor Time
by: Angga Guslim, et al.
Published: (2024-03-01) -
Ekyeyo Mobile Application
by: Nkuba, Blair, et al.
Published: (2025) -
Enhancing paddy leaf disease diagnosis -a hybrid CNN model using simulated thermal imaging
by: Jagamohan Padhi, et al.
Published: (2025-03-01)