Objective
Learn to use scalable Microsoft AI- and IoT services to explore opportunities and build new AI-services.
Fig. 1 Algae bloom in near the Hietaranta beach in Helsinki was causuing harm for swimming and fishing. Alage was recognized with over 90 percent reliability. © Jari Silander.
Research questions
- Can crowd data be used to classify algal bloom levels to improve national algal bloom forecasts and reduce monitoring effort of experts?
- What valuable features can be extracted from the data?
Background
The project supports the MONITOR 2020 program, which develops the effectiveness and cost-effectiveness of monitoring by improving methodology, processes, networking, quality and data usage.
Additionial information
Senior researcher Jari Silander, puh: +358 295 251 638, firstname.lastname@ymparisto.fi