Hyperspectral imaging and machine learning for monitoring grapevine physiology

In this work, an innovative analytical method has been proposed for fast and reliable in-line analysis of tannins in wines; the method is fast, does not require sample preparation and is based on the selective reactivity of tannins in a mixture containing proteinaceous matter (i.e. gelatin), under pH 3.5, resulting in the formation of white cloudiness.

Evoquer la notion de durabilité pour la vigne, plante multimillénaire, et le vin, tous deux intimement liés aux origines de notre civilisation, peut paraître un non-sens.

The presence of undesirable compounds in wines, such as ota, biogenic amines and pesticides residues, affects wine quality and can cause health problems for the consumer. Additionally, an excess of tannins can produce an undesirable increase in the astringency and bitterness of the wine, so tannins are also a target for reduction. The main tool that a winemaker has to reduce their content in the wine is fining. However, some of the fining agents commonly used in the winery can cause allergies or even increase the protein content in the wine, increasing the turbidity.

The combination of a non-parametric dissimilarity index with auger boring recordings was tested in a project of soil suitability evaluation for quality wine production in a 2000-ha hill slope portion of the “Colli Orientali del Friuli” AOC district (Italy).

rape aromatic characteristics are very important for the production of quality wines. The concentrations of volatile compounds in grape berries from vines with cover crops have been scarcely studied.