Machine learning to quantify techno-functional properties - A case study for gel stiffness with pea ingredients

Anouk Lie-Piang, Alberto Garre, Thomas Nissink, Niels van Beek, Albert van der Padt, Remko Boom*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

2 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Machine learning to quantify techno-functional properties - A case study for gel stiffness with pea ingredients'. Together they form a unique fingerprint.

Food Science