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project realized in frame of Hackaton Industry 4.0 in Klaipeda(Lithuania) on 23-25th of November 2018 In a nutshell From Wisp station via private API we gather data from sensors.
We received from sensors next parameters: -Chlorophyll-a concentration (based on Gons 1999): waterquality.chla -Total supsended matter (or suspended particulate matter) concentration (based on Rijkeboer 1999): waterquality.tsm -Vertical diffuse attenuation coefficient (based on Gons 1998): waterquality.kd -C-phycocyanin concentration (based on Simis 2005): waterquality.cpc
Applying KNN and tSNE algorithm we did data clasterization