The AQUAGUARD application aims to bring intelligent insight to the aquaculture process, specifically regarding resource management to optimize feeding times, ultimately leading to improved fish welfare.
Based on multiple IoT devices that periodically and continuously measure water parameters in fish tanks—such as temperature, dissolved oxygen, and oxygen saturation—and send this data to time-series databases, the goal is to integrate the processing of these time-series through AI models.
These models will allow operators to understand in real time whether current conditions are suitable for feeding, thereby supporting informed decision-making.
Additionally, a live video stream from the tanks will be provided via an edge device. This will not only allow real-time visualization of the process but also enable the recording of videos at predefined moments, enriching the correlation between AI models, IoT device data, and visual observations.
Aquaculture just became smarter

How will we do it?
- Iot Devices
- Edge Devices
- SensBlue Cloud
- Data acquisition and storage
- IoT devices sample data
- Video
- AI Model Processing and storage
- Post processing actions generator
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NebulOuS is a European project that aims to become the go-to Operating System for the Cloud Computing Continuum.
Its mission is to revolutionize cloud and fog computing brokerage through the development of advanced provisioning tools, a unique Meta Operating System, and the comprehensive NebulOuS solution.
As such, the Post Processor and Actions Generator component will be triggered each time the AI model generates an output for any of the IoT devices. This component will generate alerts in case of anomalies and format the AI model’s output data regarding the current conditions for feeding the fish. This data is sent from the cloud to the corresponding SensBlue Atlas Edge device, which will forward the information to the IoT device and to the SensBlue Cloud.

 
            


