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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