Management tool for oenological decision-making: Modeling and optimization of a hybrid model for fermentative maceration of Cabernet Sauvignon

Open Access

Issue		BIO Web Conf. Volume 68, 2023 44^th World Congress of Vine and Wine


Article Number		02040
Number of page(s)		9
Section		Oenology
DOI		https://doi.org/10.1051/bioconf/20236802040
Published online		06 December 2023

F. Yang, S. Gu, Complex Intell. Syst. 7, 1311 (2021) [CrossRef] [Google Scholar]
V. Giovenzana, S. Baroffio, R. Beghi, A. Casson, A. Pampuri, A. Tugnolo, D.D. Filippi, R. Guidetti, LII (2021) [Google Scholar]
L.F. Casassa, J.F. Harbertson, Annu. Rev. Food Sci. Technol. 5, 83 (2014) [CrossRef] [PubMed] [Google Scholar]
J. Unterkofler, R.A. Muhlack, D.W. Jeffery, Appl. Microbiol. Biotechnol. 10411 104, 4737 (2020) [CrossRef] [PubMed] [Google Scholar]
C.A. Aceves Lara, V. Athès, P. Buche, G. Della Valle, V. Farines, F. Fonseca, V. Guillard, K. Kansou, M. Kristiawan, V. Monclus et al., Innov. Food Sci. Emerg. Technol. 46, 54 (2018) [CrossRef] [Google Scholar]
K.L. Sacchi, L.F. Bisson, D.O. Adams, Am. J. Enol. Vitic. 48, 197 (2005) [CrossRef] [Google Scholar]
L.A. Lerno, S. Panprivech, R. Ponangi, L. Hearne, T. Blair, A. Oberholster, D.E. Block, Am. J. Enol. Vitic. 69, 295 (2018) [CrossRef] [Google Scholar]
P.C. Setford, D.W. Jeffery, P.R. Grbin, R.A. Muhlack, Molecules 23, 1 (2018) [Google Scholar]
R.A. Tindal, D.W. Jeffery, R.A. Muhlack, Aust. J. Grape Wine Res. 27, 219 (2021) [CrossRef] [Google Scholar]
P.C. Setford, D.W. Jeffery, P.R. Grbin, R.A. Muhlack, Trends Food Sci. Technol. 69, 106 (2017) [CrossRef] [Google Scholar]
L. Lerno, M. Reichwager, R. Ponangi, L. Hearne, D.E. Block, A. Oberholster, Am. J. Enol. Vitic. 66, 444 (2015) [CrossRef] [Google Scholar]
K.V. Miller, A. Oberholster, D.E. Block, Biotechnol. Bioeng. 116, 781 (2019) [CrossRef] [PubMed] [Google Scholar]
P.A. Smith, J.M. Mcrae, K.A. Bindon, Aust. J. Grape Wine Res. 21, 601 (2015) [CrossRef] [Google Scholar]
E. Henrichs, T. Noack, C. Krupitzer, A. María, P. Piedrahita, M.A. Salem, J. Stolz (2022) [Google Scholar]
I.A. Udugama, W. Kelton, C. Bayer, Digit. Chem. Eng. 7, 100087 (2023) [CrossRef] [Google Scholar]
A. Moser, C. Appl, S. Brüning, V.C. Hass, Digital Twins: Tools and Concepts for Smart Biomanufacturing 133–180 (2021) [Google Scholar]
J.R. Mouret, E. Aguera, M. Perez, V. Farines, J.M. Sablayrolles, Fermentation 7, 1 (2021) [Google Scholar]
D. Henriques, R. Minebois, S.N. Mendoza, L.G. Macías, R. Pérez-Torrado, E. Barrio, B. Teusink, A. Querol, E. Balsa-Canto, mSystems 6 (2021) [CrossRef] [Google Scholar]
P.C. Setford, D.W. Jeffery, P.R. Grbin, R.A. Muhlack, Food Bioprod. Process. 131, 217 (2022) [CrossRef] [Google Scholar]
K.V. Miller, D.E. Block, J. Food Eng. 273, 109783 (2020) [CrossRef] [Google Scholar]
R. Luna, B.M. Lima, J. Cuevas-Valenzuela, J.E. Normey-Rico, J.R. Pérez-Correa, 1–14 (2021) [Google Scholar]
C. Schenk, V. Schulz, A. Rosch, C. von Wallbrunn, Food and Bioproducts Processing 103, 131 (2017) [CrossRef] [Google Scholar]
U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, Communications of the ACM 39, 27 (1996) [CrossRef] [Google Scholar]
W.J. Frawley, G. Piatetsky-Shapiro, C.J. Matheus, AI magazine 13, 57 (1992) [Google Scholar]
E.B. Schwarze, J.A.S. Barriga-Bravo, Análisis químico del vino (Ediciones Universidad Católica de Chile, 2000) [Google Scholar]
AWRI, AWRI Standard Methods. Determination of tannins in grapes and red wine using the MCP (methyl cellulose precipitable) tannin assay (AWRI Standard Methods, 2000), www.crcv.com.au [Google Scholar]
J.M. Fontana, M. Farooq, E. Sazonov, Estimation of feature importance for food intake detection based on Random Forests classification, in 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (IEEE, 2013), 6756–6759 [CrossRef] [Google Scholar]
R. Caruana, A. Niculescu-Mizil, An empirical comparison of supervised learning algorithms, in Proceedings of the 23rd international conference on Machine learning (2006), 161–168 [CrossRef] [Google Scholar]
G.C. Cawley, N.L. Talbot, The Journal of Machine Learning Research 11, 2079 (2010) [Google Scholar]
C. Torrealba, Ph.D. thesis, Pontificia Universidad Catolica de Chile (Chile) (2021) [Google Scholar]
B.J. Sánchez, D.C. Soto, H. Jorquera, C.A. Gelmi, J.R. Pérez-Correa, Ind. Eng. Chem. Res. (2014) [Google Scholar]
M.I. Zenteno, J.R. Pérez-Correa, C.A. Gelmi, E. Agosin, J. Food Eng. (2010) [Google Scholar]
M.C. Coleman, R. Fish, D.E. Block, Appl. Environ. Microbiol. (2007) [Google Scholar]
Dynamic Optimization Methods with Embedded DAE Solvers, chap. 9, 251–286 [Google Scholar]
J. Blank, K. Deb, IEEE Access 8, 89497 (2020) [CrossRef] [Google Scholar]
J.A. Egea, M. Rodríguez-Fernández, J.R. Banga, R. Marti, Journal of Global Optimization 37, 481 (2007) [CrossRef] [Google Scholar]

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