News

Connecting data in an intelligent way: a semantic data model developed in BigDataGrapes project

First of all, data management in the field of the vine and wine section is a major challenge. Large amount of heterogeneous data is collected at several stage of the process like in the field, at harvest, during winemaking, sensory analysis or in the lab. Diverse formats are used, and diverse teams are gathering these data. This shows how difficult it is to link these data together.

Table and Wine Grapes Pilot: Grapevine Responses to Terroir

BigDataGrapes aims to help European companies in the vine, wine, and natural cosmetics sectors to become more competitive in international markets. More specifically, it aims at helping companies across the grapevine-powered value chain to use, exploit and benefit from big data tools, by supporting business decisions, while providing decision-making processes and support, resulting from the real-time and transversal analysis of relevant and heterogeneous data sources.

Big Data Platform series: Setting up the BigDataGrapes platform

It all started back in 2017 when our consortium had an ambitious dream; to create a data-powered solution, collecting, processing, translating, enriching food and agriculture data supporting the communities in and around the grapevine-powered industries. From this year the BigDataGrapes transformed from a dream into an EU-funded Horizon 2020 project, and we are already in the third -and final - year of the project.

So let’s start with introductions: “The BigDataGrapes Big Data Platform”

Finding answers to critical business questions through ABACO Farmer

BigDataGrapes aims to help European companies in the wine and natural cosmetics industries become more competitive in the international markets. It specifically tries to help companies across the grapevine-powered value chain ride the big data wave, supporting business decisions with real-time and cross-stream analysis of very large and multimodal data sources. One of the scopes of the project is the integration with existing real-life Software Systems.

AI applications for wine and vine

BigDataGrapes aims to help European companies in the wine and natural cosmetics sectors to become more competitive in international markets. In particular, it aims to help companies in the wine value chain to benefit from Big Data tools, by providing decision support resulting from the real-time and transversal analysis of important and diverse data sources. For example, as part of the BigDataGrape project, works based on deep learning techniques have been carried out to develop a tool capable, from images, of automatically counting the number of leaves per vinestock.