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.