Quality control of pikeperch juveniles using digital imaging and AI

The goal is to evaluate the possibilities of applying digital technology and artificial intelligence in fish hatcheries.

Steckbrief

  • Lead-Departement Hochschule für Agrar-, Forst- und Lebensmittelwissenschaften
  • Weitere Departemente Technik und Informatik
  • Institut Agronomie
  • Forschungseinheit Nutztiere und Pferde
  • Förderorganisation Andere
  • Laufzeit (geplant) 07.07.2020 - 30.04.2021
  • Projektverantwortung Thomas Janssens
  • Projektleitung Thomas Janssens
  • Projektmitarbeitende Thomas Janssens
    Philippe Aebischer
    Prof. Dr. Gabriel Gruener
    Jonas Manuel Keller
  • Partner Innosuisse- Schweiz. Agentur für In
    Swiss Food Research
    Centre Suisse d'électronique et de Microtechnique SA
    Swifish AG
  • Schlüsselwörter pikeperch, quality control, artificial intelligence, digitalization

Ausgangslage

The potential of image processing, deep learning and latest camera technology shall be tested and evaluated on the field. The ultimate goal is improve efficiency of production by facilitating decision taking and improving quality of the juveniles.

Vorgehen

- Selection of the right vision system (camera, lens, illumination, filters). - Classification of swimbladder inflation with deep learning - Evaluation of weaning performance - Classification of quality of the juveniles (no injuiries or abnormalities) and measurement of the size heterogeneity - Potential of automated sorting system according to development, quality and size