aquaculture, fish farming, artificial intelligence, deep learning
Abstract :
[en] Present tools for the recognition of deformation in the fish are mainly
based on the application of Geometric Morphometrics that requires the
manual selection of homologous landmark points in the form of x and y
coordinates on fish’ images, which again is a time consuming task that
demands expertise and practice with mathematical modelling. The aim
of this research is the setting up of an automatic recognition program
developed by Geometric Morphometrics and Artificial Intelligence, in
order to accurately estimate the percentage and severity of deformed
gilthead seabream from digital radiographs in a sound and rapid way,
without the need for manual inputs
Research Center/Unit :
Montefiore Institute - Montefiore Institute of Electrical Engineering and Computer Science - ULiège
Disciplines :
Aquatic sciences & oceanology
Author, co-author :
Navdeep Kumar ; Université de Liège - ULiège > Faculté des Sciences Appliquées > Form. doct. sc. (info.)
Zachary Dellacqua; University of Rome, Tor Vergata > Biology
Clara Boglione; University of Rome, Tor Vergata > Biology
Arianna Martini
Muller, Marc ; Université de Liège - ULiège > GIGA > GIGA I3 - Laboratory for Organogenesis and Regeneration
Geurts, Pierre ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Marée, Raphaël ; Université de Liège - ULiège > Montefiore Institute of Electrical Engineering and Computer Science
Language :
English
Title :
Towards Setting up of an Automatic Recognition System for Vertebrae and Opercular Anomalies in Reared Gilthead Seabream(Sparus aurata)
Publication date :
04 October 2021
Number of pages :
1
Event name :
Aquaculture Europe 2021
Event organizer :
European Aquaculture Society
Event place :
Funchal, Madeira, Portugal
Event date :
4-7 October 2021
Audience :
International
Peer reviewed :
Editorial reviewed
European Projects :
H2020 - 766347 - BioMedaqu - Aquaculture meets Biomedicine: Innovation in Skeletal Health research.
