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Description
Traditional water monitoring technology requires a high human intervention regarding sensor operations and maintenance which normally leads to low quality of data sets.
This operation will bring to the market a new service/product for the aquaculture sector that will enable the development of a more effective and sustainable fish farming sector. The new service model allows aquaculture producers to monitor and predict water quality changes without dealing with sensor maintenance. Among other features, users will have access to predictions about temperature and dissolved oxygen for the upcoming days and early warnings via SMS or email about possible severe oxygen depletion or algae bloom events.
A new ´FerryBox´ device will be developed with integration of water quality sensors based on farm needs and a 6-month pilot and proof of concept will be implemented in an aquaculture facility in Norway. The main expected results from the operation are:
- The downtime period of in-situ data acquisition should be less than 10% of the total operation hours.
- The sensor maintenance frequency of the in-situ data acquisition must be at least above 3 months, maintaining the quality of data sets.
- 3D High resolution model calibrated and validated for the pilot area.
- Water quality forecasts with a least 72h anticipation.
The project will benefit from the experience and knowledge from the partner Técnico de Lisboa - IST within the implementation of MOHID numerical models to simulate hydrodynamic processes. The partner from the Donor State, The Norwegian Institute for Water Research (NIVA) will contribute with the testing of the new ´FerryBox´ device and with the operationalization and validation of the numerical models to be implemented on the pilot area.