Non-destructive grapevine yield estimation
Winegrape yield forecasting tool based on interpretation of video data using machine learning methods.
Annual yield variability in wine grape vineyards impacts most aspects of the supply chain but is particularly important for decision making at the winery. Current methods commonly have an error of around 30%, are labour intensive, and only assess a tiny fraction of the vineyard block. CSIRO, with the support of Wine Australia, has developed tools to provide large-scale estimates of yield potential post-budburst, yield prediction post-fruit set and yield estimation pre-harvest.