AI workflows can improve image-based quality control of agricultural crops

The joint project between DTU and FOSS focuses on how explainable AI can be used for quality control of biological materials – for example, grain, which varies greatly in appearance. The result is not only new insights but also a workflow that can help others develop explainable AI models for biological materials.

Explainable AI will disrupt the grain industry and give farmers confidence

4 July 2023
The agricultural sector is the least digitized sector in the world, and 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.