Taranis uses a procedural biogeochemical model called DayCent, developed by scientists at Colorado State University. Given land use history, field practice history, soil composition, and detailed weather history, the model can accurately predict various aspects of a field’s crop cycle and soil characteristics, including soil organic matter and sequestered carbon stocks. Use of such a model provides several advantages, including the ability to predict the effect of practice changes on the amount of organic matter in the soil, and the ability to compare baseline results to isolate the effect of changes in practice.