VARIA Carbon

VARIA Carbon is an AI soil analysis tool that predicts Soil Organic Carbon (SOC%) from five field inputs so farmers and agronomists can skip expensive lab tests. Instead of paying $30-50/ha for soil lab work, users feed in NDVI, precipitation, temperature, elevation, and clay content, and the model returns an estimated SOC percentage plus carbon credit potential in tons of CO2 per hectare. The model is trained on real soil samples from the EU LUCAS database and reports an accuracy of R2=0.78. VARIA Carbon is aimed at carbon credit verification and soil health monitoring, giving carbon project developers and farm operators a fast, low-cost way to screen fields before committing to formal sampling. It ships as full source code under a one-time $499 license and deploys via Docker on your own server, so no data leaves your organization. That self-hosted model suits growers, agronomists, and carbon program managers who need data control and want to run predictions across many parcels without per-test lab fees. Because it estimates rather than measures, output is best used for screening, prioritization, and monitoring trends rather than replacing certified lab results where regulatory proof is required.

Farmers, agronomists, and carbon project developers use it to predict soil organic carbon and carbon credit potential without expensive lab tests.