Mathematical modeling to predict rice's phenolic and mineral content through multispectral imaging. (2022)
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1016/j.focha.2022.100141
PubMed Identifier: 36570628
Publication URI: http://europepmc.org/abstract/MED/36570628
Type: Journal Article/Review
Volume: 1
Parent Publication: Food chemistry advances
ISSN: 2772-753X