In the joint project "Nitrate Monitoring 4.0 - Intelligent Systems for the Sustainable Reduction of Nitrate in Groundwater" (NiMo 4.0), scientists, including those from the Karlsruhe Institute of Technology (KIT), are developing an intelligent system to better understand and predict the spatial and temporal distribution of nitrate in groundwater with just a few measuring points.
With the help of such predictions, which are based on machine learning methods, intelligent decision support is to be achieved in order to find optimal locations for additional measurements and to design groundwater protection programs in a targeted manner. NiMo 4.0 is one of 28 projects across Germany being funded with a total of 2.478 million euros as part of the "AI Lighthouses for the Environment, Climate, Nature and Resources" initiative of the Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU).
The use of intelligent software can help to reconcile the ecological and economic interests of society, water supply companies and agriculture. The aim is to create pioneering examples of intelligent environmental technologies.
