The science behind carbon sequestration


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Carbon Plus


Carbon and N2O Sequestration

As part of a Phase II ARPA-E team, Arva is collaborating with Dagan and Veris Technologies to build a scientifically sound, scalable N2O quantification platform that will solve the challenge of quantifying hot spots and hot moments of N2O fluxes by integrating advanced sensing technologies with the DNDC biogeochemical model for understanding the drivers of N2O fluxes.


XAI Models for Terrestrial Carbon Cycles

In concert with Lawrence Berkeley Labs and the University of Arkansas, we are developing deep learning XAI models to extend our predictive understanding to the terrestrial carbon cycle for three commodity crops, aiding farmers to profitably mine the atmosphere for carbon, improving soil health and to reduce the need for non-renewable inputs.