What we do

The main Artificial Intelligence innovations in Germ of Life project relate to the development of a framework to identify and adapt Machine Learning models to droughts indicators forecasting, to be tested and implemented, with a focus on assessing the generalization and transferability of the developed approach. Drought indicators forecasting will rely on machine learning models already tried and tested. In synergy with other ongoing projects, multiple combinations of indicators will be adopted and evaluated in their skills, in order to select the best performing one(s). Such algorithms will be calibrated, tested and validated. Additionally, soil moisture forecasting will be also explored at least up to 7 days ahead.

In Germ of Life project, fed by the outputs of the Drougth Risk prediction, a Vulnerability Assessment Tool proposed in the form of decision support system (DSS) built on open-source technologies, implements a computer program application for improving decision making capabilities based on data collected and processed. It receives risk prediction information (AI based) in processed forms and includes a dashboard for risks visualization based on the KPIs identified, introduce a collaborative space where the assessment from different stakeholders can take place on the specific drought risk area, produce structured reports available for decisions and mitigation actions functional requirements, include geospatial information.