In this episode, I talk with David Schurman, co-founder and CTO of Perennial, about their verification platform for climate-smart agriculture. Perennial uses geospatial data and machine learning to unlock agricultural soils as the world’s largest carbon sink.

Highlights:

  • How Perennial gathers and annotates training data from satellites and ground-based observations.
  • Handling variations across satellites and geographic locations.
  • Stratifying training data across the kinds of variables that matter.
  • Collaboration between machine learning engineers, remote sensing scientists, and crop scientists.
  • The importance of gathering more training data than you think you’ll need.
  • Respecting the data.
  • The nuance of communicating performance metrics.

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