Machine-Learning-Based Carbon Footprint Management in the Frozen Vegetable Processing Industry

In the paper, we present a method of automatic evaluation and optimization of production processes towards low-carbon-emissions products. The method supports the management of production lines and is based on unsupervised machine learning methods, i.e., canopy, k-means, and expectation-maximization...

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Détails bibliographiques
Auteurs principaux: Magdalena Scherer, Piotr Milczarski
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
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Accès en ligne:https://doaj.org/article/b5158055439a47b195741fc03868d8ab
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