Defect Detection in Arabica Green Coffee Beans Based on Grade Quality-Reference-Cited by-同舟云学术

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Defect Detection in Arabica Green Coffee Beans Based on Grade Quality

Published:2024-04-26 Issue: Volume: Page:103-110
ISSN:
Container-title:Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence
language:
Short-container-title:

Author:

Amadea Vania¹^ORCID,Rachmawati Ema¹^ORCID,Ferdian Edward¹^ORCID,Akbar Muhammad Naufal Syawali²^ORCID

Affiliation:

1. Telkom University, Indonesia

2. PT. Multidaya Teknologi Nusantara, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3669754.3669770

Reference21 articles.

1. J. Lernoud , The State of Sustainable Markets 2019- STATISTICS AND EMERGING TRENDS. 2019. https://www.iisd.org/publications/report/state-sustainable-markets-2019-statistics-and-emerging-trends

2. “Raw Coffee Beans Market Size & Share Analysis - Growth Trends & Forecasts (2023 - 2028),” 2023. Accessed: Jan. 02, 2024. [Online]. Available: https://www.mordorintelligence.com/industry-reports/raw-coffee-beans-market

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

4. Kosalos James, Stephen Rob, Diaz Steven, Songer Paul, and Alves Mané, Arabica Green Coffee Defect Handbook. Specialty Coffee Association of America, 2013. https://cdn.coffeestrategies.com/wp-content/uploads/2020/08/Green-Coffee-Defect-Handbook.pdf

5. SCAA Green Coffee Beans Classification “SCAA Green Coffee Beans Classification.” https://www.coffeeresearch.org/coffee/scaaclass.htm

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