Visual Feature and Machine Learning Approach for Arabica Green Coffee Beans Grade Determination-Reference-Cited by-同舟云学术

Visual Feature and Machine Learning Approach for Arabica Green Coffee Beans Grade Determination

Published:2020-11-27 Issue: Volume: Page:
ISSN:
Container-title:2020 the 6th International Conference on Communication and Information Processing
language:
Short-container-title:

Author:

N.S. Akbar Muhammad¹,Rachmawati Ema¹,Sthevanie Febryanti¹

Affiliation:

1. Telkom University, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442555.3442571

Reference22 articles.

1. Issa J. 2019. International Coffee Production. http://www.ico.org/prices/po-production.pdf Issa J. 2019. International Coffee Production. http://www.ico.org/prices/po-production.pdf

2. Selecting of Defected Coffee Beans: 2017. https://coffeepirates.at/selecting-of-defected-coffee-beans. Accessed: 2020-04-04. Selecting of Defected Coffee Beans: 2017. https://coffeepirates.at/selecting-of-defected-coffee-beans. Accessed: 2020-04-04.

3. Coffee Bean Grade Determination Based on Image Parameter

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Defect Detection in Arabica Green Coffee Beans Based on Grade Quality;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

2. Texture and Shape-Based Segmentation of Coffee Beans Images;Lecture Notes in Computer Science;2024

3. Within and among farm variability of coffee quality of smallholders in southwest Ethiopia;Agroforestry Systems;2023-03-02

4. Coffee Bean Inspection Machine with Deep Learning Classification;2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2022-11-16