Minimising mycotoxin risks in real time

A new post-harvest decision support system for minimising the risk of contaminated batches of stored cereals has been developed. The tool has been built by combining real time detection of CO2 in grain silos and linking this to biological models of boundary conditions for growth and mycotoxin production and to the DML/mycotoxin models. Cereals are the most important staple food. According to the Food and Agriculture Organization of the United Nations (FAO), the world cereal production in 2017/2