A Guide to Employ Hyperspectral Imaging for Assessing Wheat Quality at Different Stages of Supply Chain in Australia: A Review

Abstract

Wheat is one of the major staple crops across the globe. Therefore, it is mandatory to measure, maintain, and improve the wheat quality for human consumption. Traditional wheat quality measurement methods are mostly invasive, destructive, and limited to small samples of wheat. In a typical supply chain of wheat, there are many receival points where bulk wheat arrives, gets stored, and then gets forwarded as per the requirements. In these receival points, the application of traditional quality measurement methods is difficult and often very expensive. Therefore, there is a need for non-invasive, non-destructive real-time methods for wheat quality assessments. One such method that fulfils the abovementioned criteria is hyperspectral imaging (HSI) for food quality measurement and it can also be applied to bulk samples. In this article, we have investigated how HSI has been used in literature for assessing stored wheat quality. So that the required information to implement real-time quality assessment methods at the different stages of the Australian supply chain can be made available in a single and compact document.