# Development and evaluation of roasting degree prediction model of coffee beans by machine learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/development-and-evaluation-of-roasting-degree-prediction-model-of-coffee-beans/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Masaki Okamura,Masato Soga,Yasuhiro Yamada,Kazuki Kobata,Daishi Kaneda |
| Citations | 17 |
| DOI | 10.1016/j.procs.2021.09.238 |
| Fields | Agricultural and Biological Sciences,Engineering,Medicine |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050921019773/pdf |
| OpenAlex ID | https://openalex.org/W3203650575 |
| Type | conference-paper |
| Year | 2021 |

## Paper authors

- [Masato Soga](https://scholariq.org/researchers/masato-soga/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## Paper primary topic

- [Coffee research and impacts](https://scholariq.org/topics/coffee-research-and-impacts/)

## Paper topics

- [Coffee research and impacts](https://scholariq.org/topics/coffee-research-and-impacts/)
- [Food Supply Chain Traceability](https://scholariq.org/topics/food-supply-chain-traceability/)
- [Industrial Vision Systems and Defect Detection](https://scholariq.org/topics/industrial-vision-systems-and-defect-detection/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.