Discoffery: a Coffee Types Detection Apps using an EfficienNet-Lite Architecture-Reference-Cited by-同舟云学术

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Discoffery: a Coffee Types Detection Apps using an EfficienNet-Lite Architecture

Published:2022-11-22 Issue: Volume: Page:
ISSN:
Container-title:7th International Conference on Sustainable Information Engineering and Technology 2022
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Author:

Budiman Satrio Arif¹^ORCID,Pramono Andi²^ORCID,Priyambadha Bayu³^ORCID,Putri Annisa Maharani Arya⁴^ORCID,Purnomo Agung⁵^ORCID,Nugroho Ilham Setyo¹^ORCID

Affiliation:

1. Information System, Computer Science Faculty, University of Brawijaya, Indonesia

2. Interior Design Department, School of Design, Bina Nusantara University, Indonesia

3. Department of Informatics Computer Science Faculty, University of Miyazaki, Japan & Brawijaya University, Indonesia

4. Department of Mathematics, Faculty of Mathematics and Natural Sciences, Brawijaya University, Indonesia

5. Entrepreneurship Department BINUS Business School Undergraduate Program, Bina Nusantara University, Indonesia

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3568231.3568238

Reference15 articles.

1. Temperature and rainfall impacts on robusta coffee bean characteristics

2. Management intensity and landscape configuration affect the potential for woody plant regeneration in coffee agroforestry

3. The Impact of Food Safety Standard on Indonesia's Coffee Exports

4. Fast determination of lipid and protein content in green coffee beans from different origins using NIR spectroscopy and chemometrics

5. Indonesian coffee exports and its relation to global market integration

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