ARTICLE
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doi:10.20944/preprints202409.0366.v1
Subject:
Food Science And Technology,
Biology And Life Sciences
Keywords:
machine learning; Wine Quality; Viticulture; Modeling; Pipeline; software
Online: 4 September 2024 (13:12:26 CEST)