NIR instruments and prediction methods for rapid access to grain protein content in multiple cereals

Achieving global goals for sustainable nutrition, health, and wellbeing will depend on delivering enhanced diets to humankind. This will require instantaneous access to information on food-source quality at key points of agri-food systems. Although laboratory analysis and benchtop NIR spectrometers...

Full description

Bibliographic Details

Main Authors:	Chadalavada, K., Anbazhagan, K., Ndour, A., Choudhary, S., Palmer, W., Flynn, J.R., Mallayee, S., Sharada, Pothu, Prasad, Kodukula V.S.V., Varijakshapanicker, Padmakumar, Jones, Christopher S., Kholová, Jana
Format:	Journal Article
Language:	Inglés
Published:	MDPI 2022
Subjects:	cereals protein near-infrared spectroscopy (nirs) prediction methods winisi hone create convolution neural network (cnn)
Online Access:	https://hdl.handle.net/10568/119626