Search by tag «Winemaking» 1 results

• Rose or White: ITMO Researchers’ New Algorithm Uses Bubbles to Gauge Wine Quality and Glass Type

  Scientists at ITMO University have developed a method of assessing the type of sparkling wine with 84% accuracy – and the type of wine glass with 82% accuracy. The researchers were the first to use machine learning in order to analyze wine based on the shape and size of bubbles caused by ultrasound. This invention will be helpful in providing automated, quick, and inexpensive quality control in industrial and lab conditions. The results of the study were published in RSC Advances and supported by grant No. FSER-2024-0003 of the Russian Ministry of Science and Higher Education.

  03.04.2025