Skip to main content

Main navigation mobile

  • Home
  • About FRIS
  • Partners
  • Figures
  • Classifications
  • News
  • Contact us
  • FAQ
  • Nederlands
Home

Secundaire navigatie

Show — Secundaire navigatie Hide — Secundaire navigatie
  • Contact us
  • FAQ
  • Nederlands

Main navigation

  • Home
  • About FRIS
  • Partners
  • Figures
  • Classifications
  • News
Search term:
Search term:
  • (0) All results
  • (0) Researchers
  • (0) Organisations
  • (0) Projects
  • (0) Publications
  • (0) Patents
  • (0) Infrastructure
  • (0) Datasets
  • (0) Find expertise
< Back to previous page

Publication

Enhancing in-line meat processing traceability using deep learning

Book Contribution - Chapter

Book: Book of Abstracts of the 72nd Annual Meeting of the European Federation of Animal Science
ISBN:78-90-8686-366-2
Publication year:2021
  • DOI: https://doi.org/10.3920/978-90-8686-918-3
  • See also: Prediction of pork meat quality parameters with existing hyperspectral devices
  • See also: Individual pig health monitoring using multivariate analysis on feeding, drinking and weight data
  • See also: Towards in-line fish species classification in beam-trawl fisheries for real time stock assessment
Accessibility:Closed

Authors/publisher

  • Ruben Van De Vijver (Author)
  • Fabio Castaldi (Author)
  • Bert Callens (Author)
  • Marijke Aluwé (Author)
  • Ronald Klont (Author)
  • Jürgen Vangeyte (Author)
  • Jarissa Maselyne (Author)

Research units

  • Technology and Food Science(Research unit)

    Research Institute for Agriculture, Fisheries and Food

  • Animal Sciences(Research unit)

    Research Institute for Agriculture, Fisheries and Food

Projects

  • Fostering Precision Agriculture and Livestock Farming through secure access to large-scale HPC-enabled virtual industrial experimentation environment empowering scalable Big Data analytics
    From1 Jan 2019 →  31 Mar 2022

Report error

Do you see incorrect information?
Please notify us!
 

Report error

Do you see incorrect information?
In that case, please notify
the Department of Economy, Science and Innovation (EWI)

Unpaywall informatie

Zoek gelijkaardige publicaties

  • of same authors

Main navigation footer

Show — Main navigation footer Hide — Main navigation footer
  • Home
  • About FRIS
  • Partners
  • Figures
  • Classifications
  • News

Footer-menu

Show — Footer-menu Hide — Footer-menu
  • Department of Economy, Science & Innovation
  • Contact us