Lead partner: LIST – Contributors: CERN, WFP
This use case proposes to extend the WFP SKAI platform with additional capabilities in terms of object detection, supported data types, reliability, scalability and performance, and to integrate additional modelling and prediction capabilities in the platform by including short/medium-term weather modelling and forecast.
The combination of existing and new technologies being developed by CERN, LIST and WFP will form an initial proof-of-concept of 'multi-modal digital twin' able to use physical data (images and sensor data) with AI-based simulations moving towards the vision of having decision-support systems using data from different domains.
This use case is organised in four sub-cases:
- Construction damage assessment system (LIST)
- Crop damage assessment and yield prediction (LIST)
- Weather modelling and forecast (CERN)
- Damage Assessment Digital Twin (CERN)
