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

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.

KEYWORD:

• Wine production
• modeling
• prediction
• authenticity
• optimization
• electronic sensing