Spectral imaging techniques for food quality evaluation

 

 

Ning Wang^1*, Gamal ElMasry^{1, 2}, S Sevakarampalayam¹ and Jun Qiao^{1, 3}

¹Department of Bioresource Engineering, McGill University, Ste-Anne-De-Bellevue, Quebec, Canada

² Faculty of Agriculture, Suez Canal University, Ismailia, Egypt

³ China Agricultural University, Beijing, PR China

 

 

Abstract

Machine vision, spectroscopy and spectral imaging are potential fields of research for studying the external and internal properties of food products. This article reviews applications of these techniques in quality and safety evaluation, classification and sorting of food materials, and fruits and vegetables. Recent developments of imaging systems are discussed with emphasis on the use of multispectral and hyperspectral imaging for modern food inspection.

 

Keywords: hyperspectral imaging; wavelength selection; multivariate statistical analysis; artificial neural network

 

Stewart Postharvest Review 2007, 1:1

Published online 01 February 2007

doi: 10.2212/spr.2007.1.1