Solutions

With the HabiTerre patented System-of-Systems approach, we’re able to better estimate year over year soil carbon flux – still utilizing physical measurements like soil sampling, but with a reduced dependence on these measurements, because we’re tracking overall inflows and outflows of carbon to the system rather trying to compare carbon stocks over time.

Further, we have built this system with scale in mind, reducing the need for manually gathered data through advanced remote sensing capabilities and the ability to ingest data from a wide array of sources as both inputs and constraints to our model in a process called Model Data Fusion, ensuring modeling outputs represent real-world outcomes.

For accuracy, all of our work starts at the field level, but through the power of AI-enhanced computational pipelines, we are able to model millions of acres in the time it takes to go collect a few hundred acres worth of measurement data. 

This production system perspective also means we can quantify other aspects like yield and nutrient uptake and loss pathways.

All of this combines to help quantify other important environmental outcomes like nitrous oxide and methane emissions, and nutrient losses that impact water systems.