Optimization of pour-over coffee extraction variables using reinforcement learning

Pour-over coffee brewing is influenced by multiple interdependent variables—roast level, grind size, brew ratio, extraction time, water temperature, and total dissolved solids (TDS)—that collectively determine the final flavor and quality. This study explores the optimization of these variables usin...

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Bibliographic Details

Published in:	PeerJ Computer Science
Main Authors:	Arif Bramantoro, Moch Riyadi Maskur A, Ahmad A. Alzahrani, Zhahirah Jeffery, Ary Mazharuddin Shiddiqi
Format:	Article
Language:	English
Published:	PeerJ Inc. 2025-10-01
Subjects:	Machine learning Reinforcement learning Coffee pour over KNN Supervised learning
Online Access:	https://peerj.com/articles/cs-3219.pdf