Dichou, Killian ; Université de Liège - ULiège > Département GxABT > Modélisation et développement
Veselko, Didier; Comité du Lait
Marvuglia, Antonino; LIST - Luxembourg Institute of Science and Technology
Soyeurt, Hélène ; Université de Liège - ULiège > Département GxABT > Modélisation et développement
Language :
English
Title :
Robustness of derivative-based AI pipelines for inferring herbage consumption from milk FT-MIR indicator
Publication date :
June 2026
Event name :
Artificial Intelligence 4 Animal Science 2026
Event place :
Gent, Belgium
Event date :
29/06/2026-30/06/2026
Audience :
International
Funders :
SPW - Service Public de Wallonie F.R.S.-FNRS - Fonds de la Recherche Scientifique FNR - Fonds National de la Recherche Luxembourg
Funding number :
D65-1435; INTERFNRS/18/12987586; T.0221.19
Funding text :
This work was supported by the Service Public de Wallonie with the project WALLeSmart [grant number D65-1435], as well as the FNR (Luxembourg) with the grant INTERFNRS/18/12987586 and the F.R.S-FNRS (Belgium) with the grant T.0221.19. under the bilateral project SIMBA (Simulating economic and environmental impacts of dairy cattle management using Agent-Based Models).
Commentary :
We thank the partners of the Walloon FUTUROSPECTRE agreement: the Walloon Breeding Association (Ciney, Belgium) for providing access to data related to the Walloon milk recording and the milk laboratory Comité du Lait (Battice, Belgium) for providing spectral data.
No human or animal subjects were used, so this analysis did not require approval by an Institutional Animal Care and Use Committee or Institutional Review Board. The authors have not stated any conflicts of interest.
