Digital solutions for grape quality measurement and management
Currently, subjective (visual) methods are used to quantify grape condition at the weighbridge. Defects may reduce the price paid to the grower or result in rejection of the fruit. This subjective assessment can cause mistrust for the grape supplier about the load assessment process. Conversely, if a defect such as bunch rot is present in the load but not observed, the resultant wine may have a lower value (50-70% of potential). The development of a process to objectively measure bunch rot and matter other than grapes (MOG) will provide greater transparency of the assessment process and help prevent the production of poor quality wine. This project will build on past work relating to objective measures of grape quality, in particular measurement of the degree of fungal rot infection through the use of spectral methods and chemometrics. Commercially available Visible-NIR hyperspectral imaging systems will be used at the weighbridge to provide objective data on the degree of infection by fungal rots and subsequent deterioration of fruit quality. Hyperspectral imaging is an emerging technique used in food manufacture but has mainly been used in the wine industry for assessing vineyard variability through aerial imaging. If hyperspectral imaging is unsuccessful, spectroradiometer probes will be used for the assessment of both fungal rot and MOG. The project will provide viticulturists and winemakers with tools to help optimise grape production towards desired quality targets, preferred wine styles and premium price points, as described in strategy 3 of the Wine Australia strategic plan.
This project is supported by Wine Australia, through funding from the Australian Government Department of Agriculture and Water Resources as part of its Rural R&D for Profit program and The Australian Wine Research Institute.