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Artificial intelligence and IoT in water risk and water resources management (AlyVesi)

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Basic project information


AlyVesi -project using 5G and machine learning in real time (news, August 30, 2019)

Eagle Eyes -video

Invasive species mapping in Estonia 2019

1. The purpose is to identify and evaluate the potential for machine learning and artificial intelligence in water resource management and water safety.

2. Machine learning and cloud services are being developed into new future services:

  • in hydrology (the state of the bed, the ice situation)
  • flood risk management & flood preparedness (water level)
  • environmental monitoring (aquatic vegetation, alien species) and
  • biomass assessments in water bodies.
Machine learning and ice movement.
Drone and machine vision services.
IoT water temperature station

3. Deep learning in water level prediction - experiment.

4. Internet of Things (IoT) for monitoring surface and groundwater.

The aim is to evaluate the suitability of the new IoT technology for the various monitoring tasks in order to significantly reduce the cost and energy consumption of the device and the cost of data transmission and storage without compromising quality. The project will build, test and evaluate the functionality of IoT services at surface and groundwater stations. During the project, the stations will be connected to the IoT network and the functionality of the measurement device, data transmission networks and cloud information services will be evaluated and coordinated with existing monitoring systems.

More information

  • Jari Silander , Senior Researcher, Finnish Environment Institute SYKE,
  • Teemu Heikkilä, CEO, Emblica Oy p. +358 400963509,
  • Jonas Stjernberg, CEO, BVdrone Oy p. +358 440 662 566,
Multispectral image form invasive.
Fixed wind drone mapping invasives 15.8.2019.
Published 2019-02-28 at 14:00, updated 2019-09-05 at 11:06

Target group: