1. Water Quality Monitoring and Prediction:
   • Developing an AI framework for real-time water quality monitoring.
   • Enhancing the temporal resolution of water quality data through smart floating buoys with IoT sensors.
   • Implementing predictive models for analyzing and predicting water quality.
2. Spatial Resolution Improvement:
   • Using drones equipped with water samplers to assess water quality along different river sections.
   • Improving the spatial resolution of water quality measurements by collecting data at designated GPS points.
3. Integration of Technologies:
   • Integrating smart IoT buoys, drones, and satellite observations to provide comprehensive and accurate data.
   • Creating a holistic approach to water quality monitoring by combining various technologies for enhanced results.
4. Geographical Focus – Danube River in Serbia:
   • Focusing on the Danube River in Serbia due to its ecological significance and vulnerability.
   • Addressing the limitations of existing environmental monitoring systems in Serbia, especially in identifying “hot spots” of pollution.
5. Data Analysis and Visualization:
   • Utilizing AI predictive models for the analysis of collected data.
   • Developing visualization tools for effective representation and interpretation of water quality information.
6. Stakeholder Engagement and Awareness:
   • Connecting government institutions, researchers, and stakeholders through dissemination events.
   • Raising awareness about environmental pollution in Serbia by demonstrating the impact of the new monitoring tools.

Overall, the REWARDING project combines advancements in technology, data analysis, and stakeholder engagement to address the challenges of water quality monitoring in the Danube River in Serbia, with the potential for broader applications in environmental research and policy.