IoT-based environmental monitoring (EIoT) systems usually bring most value to medium/longer term projects.
The upfront capital cost of sensors, gateways and system design and install have prevented the use of remote environmental monitoring systems in the past.
Staff at the University of Queensland have deployed a low cost turbidity sensor commonly used in washing machines to accurately measure sediment loads in recent events.
Topics: IoT water quality system engineering, Remote Water Quality Monitoring, Environmental data mining, Hydrology & Hydrography, Meteorology, EIoT
Sometimes the raw value recorded by your sensing equipment is not the information you need to make the right decision.
Topics: Data processing and logic, Environmental data mining
There is a wealth of data available on the web that dynamically updates, but is not published as a neat .csv file that works with eagle.io out of the box.
Topics: Environmental data mining, Environmental data formats
