4 July 2023
There is a huge potential for AI in the agricultural sector as a large part of food quality assurance is still handled manually. The aim of a research project is to strengthen understanding of and trust in AI and image analysis, which can improve quality assurance, food quality and optimize production.
One of the mayor barriers for using AI and image analysis in the agricultural and food industry is to create confidence that it works. Today, the manual visual inspection of grain remains one of the most important quality assurance procedures throughout the value chain to bring grain from field to table – and to ensure that the farmers get the right price for their grain.
Read more (in Danish)