Remote Sensing’s Role in Scaling Regenerative Agriculture

Despite the monumental challenges posed by climate change and the incredible promise of soil carbon sequestration, the world is still far away from the widespread adoption of regenerative farming practices. This isn’t surprising given that current approaches are fraught with friction. 

For farmers, registering into a carbon program can feel like trying to file taxes. For folks renting ground for the first time, the lack of historical data means they don’t have an established baseline. For buyers, trust can be a major issue. Thankfully, remote sensing has the potential to solve these issues and create a data-driven experience that’s frictionless to the farmer, trustworthy to the buyer, and economically scalable for all parties.

Join us as Descartes Labs shares our perspective on the role of remote sensing and machine learning in scaling ground truth data on cover crops, reduced tillage, and other regenerative practices. We’ll share our ideal ground truth partner profile and provide examples of how these datasets can be used to accurately identify farmer practices across large areas to help reduce the administrative burdens that block further adoption. 

Speakers

John Shriver – Team Lead, Platform Consulting

Rose Rustowicz – Applied Scientist, Agriculture