Computational Agronomy At Work
We build software products to solve problems. These integrated offerings provide big data and advanced analytics capabilities engineered to specifically account for the unique challenges and deep complexity of agricultural systems. We use those products to help our customers generate outcomes and we call the integrated platform Computational Agronomy.
Here are our software products and the science that drives them:
Continuum DB is a distributed database for spatio-temporal modeling that enables agronomically-relevant computations and analyses.
BarnCAT (Computational Agronomy Toolkit) is a modeling toolkit for all aspects of plant, soil, and agronomic sciences that allows users to answer questions about plants, environments, and farming.
WhetherRain is an Integrated field-level stochastic weather generator that uses data science, agronomy, and computation to create detailed weather simulations.
DirtPatch is a powerful platform for environmental reconstruction that combines historical data, mathematical techniques, and crop science to infer the most likely values for agronomic data.
Emergence is a set of components that enable insight generation both inside and outside the Computational Agronomy platform. Emergence aggregates, summarizes, optimizes, and visualizes results to help solve business problems.
Incorporating the spatial and temporal dimensions into our agricultural simulations. We apply specific knowledge about where things are in the world and in relation to one another to truly model the system.
Understanding not only how plants develop in the context of one another and management strategies, but how they fit into the larger ecosystem. Our analysis of these interactions allows us to quantify the impact of production on its environment.