Literature DB >> 26464111

A critical review on the applications of artificial neural networks in winemaking technology.

O A Moldes1, J C Mejuto1, R Rial-Otero2, J Simal-Gandara2.   

Abstract

Since their development in 1943, artificial neural networks were extended into applications in many fields. Last twenty years have brought their introduction into winery, where they were applied following four basic purposes: authenticity assurance systems, electronic sensory devices, production optimization methods, and artificial vision in image treatment tools, with successful and promising results. This work reviews the most significant approaches for neural networks in winemaking technologies with the aim of producing a clear and useful review document.

Keywords:  Wine production; authenticity; electronic sensing; modeling; optimization; prediction

Mesh:

Year:  2017        PMID: 26464111     DOI: 10.1080/10408398.2015.1078277

Source DB:  PubMed          Journal:  Crit Rev Food Sci Nutr        ISSN: 1040-8398            Impact factor:   11.176


  2 in total

Review 1.  Use of Multivariate Statistics in the Processing of Data on Wine Volatile Compounds Obtained by HS-SPME-GC-MS.

Authors:  Maria Tufariello; Sandra Pati; Lorenzo Palombi; Francesco Grieco; Ilario Losito
Journal:  Foods       Date:  2022-03-22

2.  Modification of Sensory Expression of 3-Isobutyl-2-methoxypyrazine in Wines through Blending Technique.

Authors:  Mengqi Ling; Yu Zhou; Yibin Lan; Chifang Cheng; Guangfeng Wu; Changqing Duan; Ying Shi
Journal:  Molecules       Date:  2021-05-26       Impact factor: 4.411

  2 in total

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