Enoforum 2021
IVES 9 IVES Conference Series 9 Enoforum Web 9 Enoforum Web Conference 2021 9 How artificial intelligence (AI) is helping winegrowers to deal with adversity from climate change

How artificial intelligence (AI) is helping winegrowers to deal with adversity from climate change

Abstract

Artificial intelligence (AI) for winegrowers refers to robotics, smart sensor technology, and machine learning applied to solve climate change problems. Our research group has developed novel technology based on AI in the vineyard to monitor vineyard growth using computer vision analysis (VitiCanopy App) and grape maturity based on berry cell death to predict flavor and aroma profiles of berries and final wines. Smart sensor technology, such as low-cost electronic noses, has been developed and tested to monitor in the vineyard and the winery effects of smoke contamination and smoke taint, respectively, by analyzing in real-time samples and detecting taint levels and smoke-related compounds in berries, must and wines. AI has also been applied to big data collected by vineyards and on vertical vintage libraries of wines to develop specific models based on machine learning to predict wines’ aroma profiles based on weather and management information. Our ground-breaking developments on sensory analysis and biometrics from consumers include emotional response and physiological response, such as heart rate, blood pressure, skin temperature, and gesture changes. These parameters have been used to develop AI-based models to assess back viticultural and winemaking management throughout the grape and wine production chain. Information from this integrated AI system (smart sensor and sensory/biometrics) can be used to modify vineyard management strategies, such as canopy management and irrigation scheduling, to target specific consumer preference or wine styles uniformity. The same technology can also be applied for traceability, authentication, and counterfeiting measures using blockchain.     

DOI:

Publication date: April 23, 2021

Issue: Enoforum 2021

Type: Article

Authors

Sigfredo Fuentes1*, Eden Tongson1 and Claudia Gonzalez Viejo1

1Digital Agriculture, Food and Wine Research Group. School of Agriculture and Food. Faculty of Veterinary and Agricultural Sciences. The University of Melbourne. Royal Parade. 3010. Victoria. Australia.

Contact the author

Tags

Enoforum 2021 | IVES Conference Series

Citation

Related articles…

Oak wood influence on the organoleptic perception of red wine

Some wood substances such as ellagitannins (vescalagin, castalagin, grandinin, roburins (A, B, C, D, E)…) can be extracted during wine ageing in oak barrels. The level of these hydrolysable tannins in wine depends of the species and origin of oak wood as well as its treatment during barrel realization.

Adaptation to soil and climate through the choice of plant material

Choosing the rootstock, the scion variety and the training system best suited to the local soil and climate are the key elements for an economically sustainable production of wine. The choice of the rootstock/scion variety best adapted to the characteristics of the soil is essential but, by changing climatic conditions, ongoing climate change disrupts the fine-tuned local equilibrium. Higher temperatures induce shifts in developmental stages, with on the one hand increasing fears of spring frost damages and, on the other hand, ripening during the warmest periods in summer. Expected higher water demand and longer and more frequent drought events are also major concerns. The genetic control of the phenotypes, by genomic information but also by the epigenetic control of gene expression, offers a lot of opportunities for adapting the plant material to the future. For complex traits, genomic selection is also a promising method for predicting phenotypes. However, ecophysiological modelling is necessary to better anticipate the phenotypes in unexplored climatic conditions Genetic approaches applied on parameters of ecophysiological models rather than raw observed data are more than ever the basis for finding, or building, the ideal varieties of the future.

Barbera d’Asti: the characterization of the vineyard sites

[English version below]

L’objectif de l’étude est de mettre en évidence les différences rencontrées entre les vins Barbera d’Asti, qui sont produits en AOC. Celles-ci sont imputées aux terroirs caractérisés selon les facteurs pédologiques, climatiques, et qui conduisent à des différents potentiels viticoles et œnologiques. Il est proposé une individualisation des sous-zones.

The inhibition of hydrogen sulfide and methanethiol accumulation in wine by Cu(II): The influence of temperature on the duration of protection

Hydrogen sulfide and methanethiol are recognised as two of the most significant contributors to reductive off-flavours in wine.

Metabolomics comparison of non-Saccharomyces yeasts in Sauvignon blanc and Shiraz

Saccharomyces cerevisiae (SC) is the main driver of alcoholic fermentation however, in wine, non-Saccharomyces species can have a powerful effect on aroma and flavor formation. This study aimed to compare untargeted volatile compound profiles from SPME-GC×GC-TOF-MS of Sauvignon blanc and Shiraz wine inoculated with six different non-Saccharomyces yeasts followed by SC. Torulaspora delbrueckii (TD), Lachancea thermotolerans (LT), Pichia kluyveri (PK) and Metschnikowia pulcherrima (MP) were commercial starter strains, while Candida zemplinina (CZ) and Kazachstania aerobia (KA), were isolated from wine grape environments. Each fermentation produced a distinct chemical profile that was unique for both grape musts. The SC-monoculture and CZ-SC sequential fermentations were the most distinctly different in the Sauvignon blanc while the LT-SC sequential fermentations were the most different from the control in the Shiraz fermentations.