The development of Fusarium head blight (FHB) disease and consequently the contamination of cereal grains with mycotoxins is highly dependent on the production system and ensuing weather conditions. To identify critical points in these systems that can alleviate or exacerbate infection levels detailed on farm surveys are required. In addition to monitoring both pathogen species and mycotoxin levels, those potential factors that may influence the development of FHB and mycotoxins will be collected. Utilising the technologies developed in Tasks 3 and 4, the specific Fusarium species and associated mycotoxins present in Irish cereal crops will be identified and quantified. Through the development of a sampling framework involving all project participants the findings generated during this task will be provided to Tasks 8 and 9 in order to facilitate risk assessment and the optimisation of machine learning-based decision support systems.