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Artificial intelligence in wine-making

Abstract : In this paper, some terms of Artificial Intelligence are defined. Some present and potential applications of knowledge based systems are presented in the field of wine-making. Areas of concern were: multi sensor fusion, prediction by model cooperation, and diagnosis. Artificial intelligence techniques can indeed be applied for aiding the wine-maker in his choices. They facilitate the combination between experience and recent progress in technology. When associated with statistical processing, they allow knowledge sources to be used more effectively. Beyond wine-making, the prospects of artificial intelligence are promising for research and food industry, especially for improving the robustness of measurement systems (multi-sensors, sensors interpreted or validated by models), and for process diagnosis (risk prediction, action proposal).
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Contributor : Migration Irstea Publications <>
Submitted on : Thursday, May 14, 2020 - 7:39:45 PM
Last modification on : Friday, May 15, 2020 - 2:07:59 AM


  • HAL Id : hal-02579542, version 1
  • IRSTEA : PUB00008877



P. Grenier, I. Alvarez, J.M. Roger, V. Steinmetz, P. Barre, et al.. Artificial intelligence in wine-making. Journal International des Sciences de la Vigne et du Vin, 2000, 34 (2), pp.61-66. ⟨hal-02579542⟩



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