  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
forwarded as per the requirements. In this 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 above-mentioned
criteria is hyperspectral imaging (HSI) for food quality measurement and it can
also be applied to bulk samples. In this paper, we have investigated how HSI
has been used in the literature for assessing stored wheat quality. So that the
required information to implement real-time digital quality assessment methods
at the different stages of Australian supply chain can be made available in a
single and compact document.
