Predicting the Specific Gravity of Must During Fermentation Using Machine Learning Models
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51494-4_29
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3. Butzke, C.E.: Winemaking Problems Solved. Elsevier (2010)
4. Schorn-Garcia, D., et al.: ATR-MIR spectroscopy as a process analytical technology in wine alcoholic fermentation - a tutorial. Microchem. J. 166, 106215 (2021)
5. Henriques, D., Alonso-del-Real, J., Querol, A., Balsa-Canto, E.: Saccharomyces cerevisiae and S. kudriavzevii synthetic wine fermentation performance dissected by predictive modeling. Front. Microbiol. 9(FEB), 317309 (2018). https://doi.org/10.3389/FMICB.2018.00088/BIBTEX
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