At project partner Bioceanor, video images of precision feeding trials are labeled to assist with target acquisition and tracking of the fish. Training artificial intelligence technology on how to make an automatic assessment of fish feeding behaviour is both a difficult and fascinating challenge of our work. Excited to know more? http://ifishienci.eu/our-research/
IoT/AI Technology integration builds upon the foundations developed in Biology 4.0. Sensors and feeders etc. will be incorporated into an ‘Internet of Things’ environment. This includes the development of data aggregation and analytical processes that interact with sensors, artificial intelligence learning and cloud data storage.
- IoT: Bring sensors and actuators (feeders) into state of the art IoT environment. Integrate all sensors including new ones if needed, and interface with feeders in controlled manner. Bring the data and actions into an open IoT architecture including advanced network features (e.g. using Fiware) in order to be able to process a broad range of data.
- AI: Provide additional data,, perform data analytics, and use AI features in order to develop smart feeding algorithms.