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…

Know thy enemy: oxygen or storage temperature?

It is well known that high oxygen levels and high ageing temperatures are detrimental to white wine’s composition and ageing capacity. However, these results, though valuable

Aromatic profile evolution of corvina, corvinone and rondinella grapes during withering

AIM AND METHODS: Grape withering is one of the key steps in the production of the most renowned red wines of the Valpolicella area, namely Amarone and Recioto. This practice, which was already used since Roman times, entails important modifications in grape composition and in the chemical and sensorial characteristics of the corresponding wines, especially in terms of aromatic profile. The aim of this research is evaluating the aromatic evolution during grape withering of the three main varieties used in Valpolicella wines: Corvina, Corvinone and Rondinella.Samples of the three varieties were analyzed at harvest and at different stages of withering, namely10%, 20% and 30% of weight loss. Free and glycosidically bound compounds were extracted and analyzed using Gas Chromatography- Mass Spectrometry (GC-MS). RESULTS: For all the samples the data were normalized to eliminate the effect of concentration due to grape dehydration. Terpene content and evolution varied considerably in relationship to grape variety. Corvinone was richer in cyclic terpenes (including phellandrene, limonene, and cymene) and they decreased during withering.

On-the-go resistivity sensors employment to support soil survey for precision viticulture

There is an increasing need in agriculture to adopt site-specific management (precision farming) because of economic and environmental pressures. Geophysical on-the-go sensors, such as the ARP (Automatic Resistivity Profiling) system, can effectively support soil survey by optimizing sampling density according to the spatial variability of apparent electrical resistivity (ER).

Impact of oenological tannins on microvinifications affected by downy mildew

AIM: Vine diseases are still responsible for economic losses. Previous study in our laboratory, have shown effects of oenological tannins against Botrytis cinerea1,2. According to this, the aim was to evaluate the wine protection by oenological tannins against an another disease, the downy mildew. METHODS: During the 2020 vintage, infected grapes by downy mildew (Vitis vinifera cv. Merlot) were collected from the dispositive ResIntBio. The 100 kg were crushed, destemmed and dispatch into 10 aluminium tanks. SO2 was added at 3 g/hL. Oenological tannins (grape, quebracho, ellagitannin or gallotannin) were added at 100 g/hL into eight different tanks (4×2 tanks). The two last tanks were considered as control without addition of oenological tannins. Alcoholic fermentation was achieved with Actiflore 33® at 20 g/hL. Malolactic fermentation was achieved with Lactoenos B7at 1 g/hL. Finished wines were sulfited to obtain 45 mg/L of total SO2.

Pedological criteria according to the French hierarchy of vintages, Appellations d’Origine Contrôlée (AOC): study of two toposequences located in the Burgundian “Côte”

The concept of terroir is defined by a set of natural and human factors. On the slopy vineyards of the Burgundian « Côte », the « Appellations d’Origine Contrôlée (AOC) » spread out according to the slope in their order of quality : « AOC Grand Cru » at the top, « AOC Premier Cru » and « AOC Village » and « Bourgogne » on the piemont. In order to correlate the hierarchy of the vintages with the evolution of the topographic and pedological criteria, two toposequences were studied, in Gevrey Chambertin (« Côte de Nuits ») and Aloxe Corton (« Côte de Beaune »).