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, diverse and multimodal data sources. The project involves the following types of commercial partners of the European grapevine-powered industries: Wine producers, bottlers and distributors that are managing large vineyards and are taking critical decisions that may affect (a) product lines, such as which grape varieties to combine and plant at which location and under which treatment in order to produce a ne...
open4noThe economic globalisation has opened new pathways for commerce and triggered a logistical re...
Advances in remote-sensing, sensor and robotic technology, machine learning, and artificial intellig...
What’s the role of Big Data in the farming ecosystem? Farmers need to measure and understand the imp...
BigDataGrapes aims to help European companies in the wine and natural cosmetics industries become mo...
The deliverable D8.4 “Integration with existing real-life Practices” showcases the application of Bi...
This report presents the BigDataGrapes project vision and ambition and summarises the project’s achi...
The wine industry—like all business sectors —has undergone a digital revolution. This transformation...
Data driven food-manufacturing systems assure cost reduction, increased efficiency, improved product...
This accompanying document for deliverable D4.3 (Models and Tools for Predictive Analytics over Extr...
European wine industry is a strategic economic sector that is nowadays facing a growing competition...
The article improves understanding on leveraging new technology for DT (digital transformation) of g...
The spread of modern information and communication technologies (ICTs) in the present economic conte...
This accompanying document for deliverable D4.1 Methods and Tools for Scalable Distributed Processin...
This deliverable is the third report on the progress of T3.4 Semantic Enrichment. It aims to describ...
Data-based farming facilitates the zonal management (Smart-FIELD) in the smart farm (SF) vineyards. ...
open4noThe economic globalisation has opened new pathways for commerce and triggered a logistical re...
Advances in remote-sensing, sensor and robotic technology, machine learning, and artificial intellig...
What’s the role of Big Data in the farming ecosystem? Farmers need to measure and understand the imp...
BigDataGrapes aims to help European companies in the wine and natural cosmetics industries become mo...
The deliverable D8.4 “Integration with existing real-life Practices” showcases the application of Bi...
This report presents the BigDataGrapes project vision and ambition and summarises the project’s achi...
The wine industry—like all business sectors —has undergone a digital revolution. This transformation...
Data driven food-manufacturing systems assure cost reduction, increased efficiency, improved product...
This accompanying document for deliverable D4.3 (Models and Tools for Predictive Analytics over Extr...
European wine industry is a strategic economic sector that is nowadays facing a growing competition...
The article improves understanding on leveraging new technology for DT (digital transformation) of g...
The spread of modern information and communication technologies (ICTs) in the present economic conte...
This accompanying document for deliverable D4.1 Methods and Tools for Scalable Distributed Processin...
This deliverable is the third report on the progress of T3.4 Semantic Enrichment. It aims to describ...
Data-based farming facilitates the zonal management (Smart-FIELD) in the smart farm (SF) vineyards. ...
open4noThe economic globalisation has opened new pathways for commerce and triggered a logistical re...
Advances in remote-sensing, sensor and robotic technology, machine learning, and artificial intellig...
What’s the role of Big Data in the farming ecosystem? Farmers need to measure and understand the imp...