RapiGrow project aims to develop machine learning/deep learning models that can predict plants growth from images and observe plant nutrient availability (e.g., phosphorus) by applying hyperspectral image analysis of plant growth. This can be used to learn past plant growth trends and forecast future plant growth patterns based on those...
This EU-funded project will develop real-time control and monitoring systems as well as a novel, cost-effective, easy to use surveillance system to optimise the removal of emerging water contaminants.
The water resources and especially the drinking water in Europe and globally face new challenges with the emerging...
The ambition of MEMPREX is to develop a Virtual Membrane Excellence Network addressing the next decade's challenges in the water sector, specifically focusing on the optimisation of the use of membranes in water and wastewater treatment.
Membrane processes are increasingly applied in the water sector worldwide, but Norway is yet to...
The DigiwatRO project will increase the effectiveness in the water sector by enhancing the use of digital tools in utilities facilitated by the enhanced digital competence in graduate education.
Romania’s investment needs to comply with the EU''s Drinking Water Directive (DWD) and the Urban Wastewater Directive (UWWD) by 2030...
External quality helpdesk for CCwater
