Data science
Data science
Data science
All our scientific endeavours generate significant amounts of data, and how we manage and analyse that data is vital for our research.
Data collection and management, data manipulation, analysis, visualisation and interpretation underpin everything we do. Our research programmes include elements of statistics, modelling, artificial intelligence and machine learning to make sure we can collect and use all our data to better understand the food production system and ensure our research can be used to improve how food is grown, harvested, prepared and shared.
Data science news and case studies
Our digital horticultural systems research is creating digital simulators so we can make predictions before we even plant the crop.