Published November 23, 2022 | Version 2
Project deliverable Open

iFishIENCi Report on final Smart feeding AI

  • 1. OxyGuard
  • 2. EGM
  • 3. BiOceanOr
  • 4. AquaBioTech Group
  • 5. University of Bergen

Contributors

Project leader:

  • 1. Covartec
  • 2. Norwegian research Centre (NORCE)

Description

One of the goals of the iFishIENCi project is to bring to market the iFishIENCi Biology Online Steering System (iBOSS) that significantly improves production control and management for all fish aquaculture systems. Within iBOSS, smart functions can be implemented to take advantage of data from multiple sources to give better insight for the farmer, optimize production, better production planning, etc. The Report on final Smart feeding AI aims to implement one such smart function: iBOSS Smart Feeding. By using an AI approach, it is expected appropriate correlations between fish behaviour, feeding regime and water quality can be found, and used for controlling feeder and achieve optimal feeding operation. While a lot of data is available, it has not yet been explored how to concatenate this into one model for optimizing feeding efficiency. Thus, an approach to integrate multiple sources of feeding efficiency quantification in to one, is proposed.

Files

D2.4 Report on final Smart feeding AI.pdf

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Additional details

Funding

iFishIENCi – Intelligent Fish feeding through Integration of ENabling technologies and Circular principle 818036
European Commission