Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels

Tsvakai Gama; Helen M Wallace; Stephen J Trueman; I Tahmasbian; Shahla Hosseini Bai

doi:10.17660/ActaHortic.2018.1219.40

Back

Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels

Journal article

Peer reviewed

Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels

Tsvakai Gama, Helen M Wallace, Stephen J Trueman, I Tahmasbian and Shahla Hosseini Bai

Acta Horticulturae, Vol.1219, pp.259-264

International Symposium on Almonds and Pistachios (ISAP), VII (Adelaide, Australia, 05-Nov-2017–09-Nov-2017)

2018

DOI: https://doi.org/10.17660/ActaHortic.2018.1219.40

Files and links (1)

url

https://doi.org/10.17660/ActaHortic.2018.1219.40View

Published Version

Abstract

almond

crude protein

food quality

nutritional composition

nuts

rapid assessment

There is increasing awareness of the need to consume high-quality foods because of health concerns. Food safety and health awareness campaigns have provided an impetus for non-destructive and real-time methods for food quality assessment. Total nitrogen is used as an indicator of crude protein content in foods and we examined the potential of hyperspectral imaging to predict total nitrogen concentration in four brands of almonds purchased from commercial retailers. A hyperspectral imaging system in the wavelength range 400-1000 nm was used in the study. A partial linear squares regression (PLSR) model was developed, which predicted total nitrogen concentration with a determination coefficient (R2p) of 0.82 and a root mean error square of calibration (RMSEC) of 0.16. These results indicated that hyperspectral imaging has great potential to predict total nitrogen concentration of almond kernels.

Details

Title: Hyperspectral imaging for non-destructive prediction of total nitrogen concentration in almond kernels
Authors: Tsvakai Gama (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and Engineering
Helen M Wallace (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and Engineering
Stephen J Trueman (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and Engineering
I Tahmasbian (Author) - Griffith University
Shahla Hosseini Bai (Author) - University of the Sunshine Coast, Queensland, Faculty of Science, Health, Education and Engineering
Publication details: Acta Horticulturae, Vol.1219, pp.259-264
Conference details: International Symposium on Almonds and Pistachios (ISAP), VII (Adelaide, Australia, 05-Nov-2017–09-Nov-2017)
Publisher: International Society for Horticultural Science
Date published: 2018
DOI: 10.17660/ActaHortic.2018.1219.40
ISSN: 0567-7572; 2406-6168
Organisation Unit: School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; GeneCology Research Centre - Legacy
Language: English
Record Identifier: 99450626602621
Output Type: Journal article

Metrics

213 Record Views