Bridging data gaps in the food industry – sensor-equipped metal food containers as an enabler for sustainability

In recent years, Machine Learning (ML) applications for manufacturing have reached a high degree of maturity and can be considered as a suitable tool for improving production performance. In addition, ML applications can be used in many other production areas to enhance sustainability within the man...

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Detalles Bibliográficos

Principais autores:	Burggräf, Peter, Steinberg, Fabian, Adlon, Tobias, Nettesheim, Philipp, Salzwedel, Jan, Herberger, David, Hübner, Marco, Stich, Volker
Formato:	Artigo
Idioma:	Inglês
Publicado:	TIB – Leibniz-Informationszentrum Technik und Naturwissenschaften und Universitätsbibliothek 2023-01-01
Series:	Proceedings of the Conference on Production Systems and Logistics
Assuntos:	artificial intelligence supply-chain sustainability smart solutions smart services machine learning applications konferenzschrift
Acceso en liña:	https://repo.uni-hannover.de/handle/123456789/13598
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