With the increase of sensor technologies in aquaculture, more complex data can be analysed and automated. These sensory data can be useful for the analyst to detect patterns and trends in monitoring and controlling water quality in the fisheries such as understanding the pattern of dissolved oxygen before and after fish feeding.
It is also essential for a monitoring system to be able to present the overall pattern of the data in a single presentation to see the whole picture. The user can observe and modify the related values by adjusting the control by interacting with the graphical user interface.
The IMPAQT data storage and management receives real-time data and/or information from the DAS module, but also crowdsourced data via the SIMPLEX smart application, remote sensing and satellite data, as well as spectroscopy data, through appropriate APIs in an automated fashion. It can also connect to external Information Systems and Open Data sources if the corresponding APIs exist.
This Integrated Management System (IMS) is a system, operating at the scale of an IMTA farm, and comprises novel technologies (data and predictive analytics, decision making for alert notification and actuation) to enable improved operational decisions for animal welfare, production optimisation, environmental protection, food quality and consequently sustainable productivity. The IMS is a decision-making and actuation system for timely alert notification and automatic optimisation of production systems. IMS performs the deeper and smarter services for optimized farm management decisions. Data and predictive analytics enable a number of operational capabilities.
Hear about the details here:https://www.open.edu/openlearncreate/pluginfile.php/589842/mod_page/content/16/IMS%20wings.mp4Video player: IMS%20wings.mp4