BIG Data for Water Management
Under this project, researchers from the Hassan II Agronomy and Veterinary Institute (IAV) are developing new methods for collecting structured and unstructured data. Water resources management is an intensive computing discipline where data is constantly collected from many sources and devices across the globe, such as sensors, databases, geographic information systems (GIS), remote sensing imageries, and hydraulic models. This data needs to be managed, analyzed, and processed at volumes and rates that push the frontiers of current technologies.
The researchers at IAV are developing a concept prototype to show how we can analyze and process this large volume of data more effectively and efficiently. This project will also demonstrate how decision makers can use visual analytics techniques to make predictions and faster decisions by using all collected data, not just a sample.