[HTML][HTML] Enhancing coffee bean classification: a comparative analysis of pre-trained deep learning models

E Hassan - Neural Computing and Applications, 2024 - Springer
Coffee bean production can encounter challenges due to fluctuations in global coffee prices,
impacting the economic stability of some countries that heavily depend on coffee production …

Coffee Bean Roasting Levels Detection: A Systematic Review

IAF Anto, A Munandar, JW Wibowo… - 2023 IEEE 7th …, 2023 - ieeexplore.ieee.org
Coffee drinks are one of the most popular drinks for many people. One of the flavors in
coffee drinks is formed through the roasting process. Roast level is evaluated by the shape …

Raw Coffee Bean Classification for Roasting Suitability Assessment Using Transfer Learning

A Pratondo, T Zani, A Novianty… - 2023 IEEE 11th …, 2023 - ieeexplore.ieee.org
The classification of raw robusta coffee beans is a pivotal process with profound implications
for the coffee industry. Recognizing the critical significance of this classification, this …

[PDF][PDF] Identifikasi Mutu Bij Kopi Arabika Berdasarkan Cacat dengan Teknik Convolutional Neural Network

M Saputra, K Kusrini, MP Kurniawan - … : Jurnal Teknologi Informasi …, 2020 - researchgate.net
Dalam proses pengemasan saat ini, penyortiran ini dilakukan secara manual. Dalam
penelitian ini, convolution neural network diterapkan untuk secara otomatis untuk …

Benchmarking A New Dataset for Coffee Bean Defects Classification Based on SNI 01-2907-2008

MWA Kesiman, I Sulaiman… - 2023 International …, 2023 - ieeexplore.ieee.org
To develop a device which can determine automatically the quality of coffee beans, the
module to identify and classify coffee bean defects based on digital images processing is …

Implementasi Metode Convolutional Neural Network Untuk Deteksi Penyakit Pada Tanaman Kopi Arabika Melalui Citra Daun Berbasis Android

AI Saputra, I Weni, U Khaira - Decode: Jurnal Pendidikan …, 2023 - journal.umkendari.ac.id
Penyakit pada tanaman kopi arabika merupakan masalah serius yang dapat menyebabkan
kerugian bagi petani jika tidak terdeteksi dan ditangani secara tepat waktu. Dalam …

An intelligent system for coffee grading and disease identification

S Wallelign - 2020 - hal.science
One of the key factors in the success of deep learning models is their ability to learn
important representations from the input data automatically, without the need for human …

[HTML][HTML] A Study of the Physical Characteristics and Defects of Green Coffee Beans That Influence the Sensory Notes Using Machine Learning Models

B Gonzalez-Sanchez, O Sandoval-Gonzalez… - Processes, 2023 - mdpi.com
This paper presents a detailed analysis of the relation between physical characteristics and
defects of green coffee beans and the sensory profile that influence the sensory notes of …

[PDF][PDF] Automatic tariff classification system using deep learning

G Cuaya-Simbro, I Hernández-Vera, E Ruiz… - International Journal of …, 2022 - academia.edu
The tariff fraction is the universal form of identifying a product. It is very useful because it
helps to know the tariff that the product must pay when entering or leaving the country, in this …

Semi-automatic Ground Truth Image Construction for Coffee Bean Defects Classification Based on SNI 01-2907-2008

MWA Kesiman, I Sulaiman - 3rd International Conference on …, 2023 - atlantis-press.com
In the coffee bean test procedure for determining the value of defects, physical separation of
defective beans is carried out. This physical test is carried out using human senses or using …