Welcome to Grapevine
GRAPEVINE is the European initiative that will improve current pest prediction and control systems in the wine sector, thanks to Big Data and Artificial Intelligence technologies.
GRAPEVINE aspires to:
- Reduce the environmental impact by optimizing the use of phytosanitary products and increasing biodiversity.
- Provide an intelligent decision support tool for grape growers adaptable to other regions.
- Improve farms sustainability.
GRAPEVINE aims at provide open information to farmers potentially affected by diseases affecting vineyards, so they can apply a more effective treatment.
For the technicians
GRAPEVINE is oriented to help and support the role of technicians involved in crop management and protection, with prevention and monitoring tools.
For the scientific community
GRAPEVINE will promote inside the scientific community the use of existing open data, HPC and data infrastructures to enhance the existing processes to face challenges in the agricultural sector.
GRAPEVINE is providing companies with a reusable IT service to be potentially used by any region with similar issues.
GRAPEVINE is the opportunity to use High Performance Computing to go one step beyond in grapevine diseases prevention by using complex models that provide useful information for fighting the diseases at the right moment with the right phytosanitary products.
This type of applications can be adapted to other crops with required changes to fight other diseases.
Ricard Munne Caldes - ATOS
transforming the vine sector
Open data & HPC
Promote the use of existing open data, HPC and data infrastructures to enhance the existing processes to face challenges in the agricultural sector
Reusable IT service
GRAPEVINE provides a reusable IT service, , potentially to be used by any region with similar issues
Provide open information to farmers potentially affected by the mildew disease to apply more effective treatments based on the data produced by advanced technologies
IT services for all
Based on advanced technologies, infrastructures and data (HPC, Deep Learning, Cloud storage, relevant meteorological and satellite images information), that can be used by any region with similar issues of grapevine diseases.
Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning
A new publication of Grapevine project, by partner AUTH, is…
GRAPEVINE at the European Meteorological Society Annual Meeting
Last week AgroApps was participating in the European Meteorological Society…
GRAPEVINE at the XLIV Viticulture and Oenology Conference at Santa Ana University Centre
On May 3rd, our project coordinator, Ricard Munne from ATOS,…
View our Dissemination material!
Meet our Adv. Committee !
Gain further insight into
The GRAPEVINE consortium is formed by a team of experts from 7 institutions and companies in Europe, which will be more than happy to answer to your questions or provide more info on the project.
ITAINNOVA – Instituto Tecnológico de Aragón