Publikasi Ilmiah STMIK Banjarbaru
metadata only
Klasifikasi Mutu Biji Kopi Menggunakan Metode CNN-SVM Berdasarkan Cacat Fisik dan Warna
The determination of coffee bean quality in Indonesia is generally still done manually based on physical defects and color, which is subjective and time-consuming. This study aims to develop a digital image-based green coffee bean quality classification model using the Convolutional Neural Network a
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Teknologi PENGAPLIKASIAN DEEP LEARNING DENGAN DESAIN ARSITEKTUR JST UNTUK TUGAS REGRESI DAN KLASIFIKASI: Elektronika#202805
- Penerapan Deep Convolutional Autoencoder dengan Skip Connection Untuk Menghilangkan Derau pada Citra Digital#1003283
- Structural Analysis and Optimization of Convolutional Neural Networks with a Small Sample Size#19747
- Enhancing Arabica and Robusta coffee prices forecasting through machine learning approaches#684694
- Research on a financial fraud identification model by fusing a convolutional neural network.#223094
Record · ID 1226314
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive