Agricultural Systems Modelling

Agriculture occupies about 40% of the world’s land area and over 70% in the UK, hence it has massive human influences on the environment. Agricultural systems are complex, interactive and vitally important to supply our basic needs. Empirical suck it and see real time experiments of farms are doomed. 



Using established models allows farming futures to be analysed, improved and optimised. Taking a systems approach combines mechanistic and economic understanding with approachable mathematics. Alternative outcomes can be investigated without putting today’s farming in jeopardy. Explore with us how to optimise farm resource use with linear programming, use life cycle assessment to compare the environmental impacts of farming systems or use stochastic approaches to control weeds in an optimal way. Examples range from maximising profits to forecasting Europe-wide land use.