📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Integration of hyperspectral imaging, non-targeted metabolomics and machine learning for vigour prediction of naturally and accelerated aged sweetcorn seeds (2023)

First Author: Zhang T

Attributed to: Unlocking the potential of wheat grain heterogeneity using machine vision funded by BBSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1016/j.foodcont.2023.109930

Publication URI: http://dx.doi.org/10.1016/j.foodcont.2023.109930

Type: Journal Article/Review

Parent Publication: Food Control