Journal
CRITICAL REVIEWS IN FOOD SCIENCE AND NUTRITION
Volume 57, Issue 13, Pages 2896-2908Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/10408398.2015.1078277
Keywords
Wine production; modeling; prediction; authenticity; optimization; electronic sensing
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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.
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