Prediction of specialty coffee flavors based on near‐infrared spectra using machine‑ and deep‐learning methods
Volume: 101, Issue: 11, Pages: 4705 - 4714
Published: Feb 18, 2021
Abstract
BACKGROUND Specialty coffee fascinates people with its bountiful flavors. Currently, flavor descriptions of specialty coffee beans are only offered by certified coffee cuppers. However, such professionals are rare, and the market demand is tremendous. The hypothesis of this study was to investigate the feasibility to train machine learning (ML) and deep learning (DL) models for predicting the flavors of specialty coffee using near‐infrared...
Paper Details
Title
Prediction of specialty coffee flavors based on near‐infrared spectra using machine‑ and deep‐learning methods
Published Date
Feb 18, 2021
Volume
101
Issue
11
Pages
4705 - 4714
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History