Main goal: to create a Spatial Data Infrastructure to support decision making that will include climate and agronomic indicators, allowing winegrowers of any location to benefit from the information provided. The project led by Geodouro has ADVID, INESC-TEC and UTAD as co-promoters.

Main goal: to provide innovative forecasting tools (connected and with digital access) for wine-growing SMEs, whose objective is to evaluate production and access data from international markets. This is a project developed by the partnership of entities from France, Spain and Portugal.

Main goal: to create an innovative technological service for the monitoring of vineyards, which will allow SMEs in the SUDOE region to monitor their vineyards in real time, remotely and taking into account various levels of accuracy (grape, plant, plot and farm).

Main goal: project approved by the program Fundo Ambiental, with the purpose of developing a training and environmental education program adapted to different audiences. Its purpose is to promote and publicize the best that is already being done in viticultural ecosystems, regarding the conservation and protection of biodiversity.

Main goal: international initiative approved and funded by the Interreg Sudoe Programme, which aims to offer integrated, innovative, and viable solutions to reduce the use of copper while promoting environmentally sustainable production.

Main goal: to promote the internationalisation of the agro-food sector in articulation with the wine tourism sector, boosting the increase in exports of more sophisticated and differentiated goods and services linked to the territories, endogenous products and the rural world, and reinforcing the international competitiveness of North, Centre and Alentejo SMEs in this sector.

Main goal: Objective: to promote the good practices of Circular Economy already implemented by some companies in the wine sector and to contribute to an active citizenship in this area.

Main goal: to launch and consolidate the Wine Innovation Cluster Alliance – WICA, an European strategy for innovation in the grape&wine value chain, which will promote the internationalization of the auxiliary companies of the wine industry through the creation of a network of SMEs with the purpose of knowing the market and its innovation trends.

Main goal: redesign Mediterranean farming systems for greater resilience and productivity by focusing on the development of sustainable agricultural production systems through the combined use of biotechnological tools and environmentally friendly agronomic practices.

Objective: Development of a low-cost sensor network that allows spatially assessing water stress in a vineyard in real time.

Objective: the withering that occurred in the 2020 Viticultural Year, with greater incidence on the Touriga Francesa variety, led to the creation of the working group. which results from the collaboration of ADVID/CoLAB VINES&WINES with various business and scientific associates. The implementation and monitoring of the plant physiology trial has been supported by UTAD (University of Trás-os-Montes e Alto Douro) and will also have the support of UM (University of Minho), with regard to laboratory components.

Innovation in the Knowledge and Technology Transfer in the Wine Sector. RRN Technical Assistance – Area 4 – Observation of agriculture and rural territories.
Objective: transfer knowledge and technology to the agricultural, agrifood and rural development sectors, with a view to enhancing them by capitalizing on information and project results in priority themes, as well as the development and dissemination of good agricultural practices.

Objective: Develop a monitoring network for the vector insects of X. fastidiosa, particularly Philaenus spumarius, and a risk prediction model that allows the National Agricultural Advisory Service to issue specific alerts for these insects.

Photonic integrated LIDAR and snapshot spectral imagers for scaling up multimodal perception in precision applications

Objective: The RETINA project aims to establish a holistic framework for the development of photonic technologies, wherein specific efforts in next-generation hardware solutions—focused on a new LIDAR solution and low-cost CMOS, InGaAs, and QD spectral imaging generators—will be linked to the creation of a digital infrastructure for the agile and efficient development of perception algorithms based on machine learning.