'SemanticSugarBeets', an AI-based method for the automated quality assessment of sugar beets that is available to the public, is being presented by researchers at the AIT Austrian Institute of Technology. This method is based on a newly developed image dataset combined with a two-stage analysis process. This allows key parameters such as damage, dirt and mass to be assessed reliably.
The system opens up new possibilities for the objective and scalable determination of quality and more precise estimation of sugar yield, in both agriculture and processing. It enables resources to be used more efficiently throughout the entire value chain.