Utilize farm data verification for carbon certification
Monitor supply chains, establish traceability, and enable the monetization of ecosystem services
Verify hemp farm practices to ensure compliance
Monitor agricultural practices to manage biodiversity risks
Ground truth data is collected to enable accurate models for remote measurement at scale and to collect a sparse array of crop samples for verification at the end of each growing cycle.
We can detect cover crops from satellite, enabling stakeholders to monitor and verify the prevalence of cover crops over large areas.
Applying our crop type models to analyse geospatial and temporal trends enables us to identify crop rotations and diversity. This allows users to monitor management practices at scale, as a component of sustainable agriculture verification or supply chain vision.
We focus on what is relevant: detecting areas where crops grow. Field boundaries are the geometric borders or cropped areas, which are not necessarily exact cadastral reference locations.
To avoid extensive and expensive crop sampling, C02 absorption of hemp crops is measured via satellite data, at scale, with the use of AI and innovative machine learning approaches. The subsequent generation and sale of carbon credits for the voluntary carbon market (VCM) is a prime example of a regenerative agricultural incentive system.