PREDIVÍ

PREDIVÍ

Model of wine harvest prediction through Big Data

Project funded through Operation 16.01.01 of Cooperation for Innovation of the Rural Development Program of Catalonia 2014-2020.

The increasing variability in the volume and quality of wine production means that the investment of resources and dedication of the technical teams to obtain vintage predictions is increasing. Currently, the technical teams use multiple systems (sampling, maturation controls, gauging, etc.) to find out first hand the mentioned variables of volume and optimum time of harvest, but the reliability of the results that these systems provide has a lot of potential. improvement. The large number of variables that affect both the quality and quantity of productions (meteorology, characteristics of plots, productive areas, etc.) makes it very complex to obtain reliable predictions with traditional approaches.

Being able to reduce the uncertainty of what will be the volume of production (whether at the level of plot, production area, variety, etc.) or what will be the evolution of the different qualitative parameters, will help to optimize the planning of the harvest and therefore, to improve decision-making related to it. These decisions are mainly related to aspects of logistics, production volume, sales and production quality.

The main objective of the project is to provide organizations and actors in the wine sector with decision support tools to obtain information on harvest predictions in advance.

Coordinator

Leader

Beneficiary Partners

Beneficiary Partners

Research Center

Research Center

Technology provider

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