A Leading Iowa Farm’s Transition to Net-Zero with Advanced Remote Soil Carbon Measurements
Located in Iowa, USA, this notable farm manages over 25,000 acres in the corn belt. While they have a strong commitment to sustainability, they aspired to achieve a negative carbon emissions status. However, traditional methods, such as soil sampling across their extensive land, were cost-intensive. The challenge increased with potential errors due to human operators collecting and entering data. But by collaborating with our services, they secured a comprehensive 3D soil map of their property in under a week, with analytics on par with specialized lab studies. This led to efficient carbon sequestration monitoring, enabling them to be on the trajectory to meet their negative emissions target within 6 years, all backed by our advanced soil mapping.
This third-generation farming establishment in Iowa, USA, proudly cultivates over 25,000 acres. Since 1981, they have been a reliable supplier for major Food & Beverage corporations. They consistently leverage the latest tech advancements to optimize their operations and further their commitment to sustainability.
Staying competitive necessitated adhering to the rigorous sustainability mandates of their elite clientele. The prevailing methods of capturing comprehensive soil data across their properties were not only cost-intensive but also lacked accuracy. Relying on varied soil samples failed to provide an authentic representation of the spatial differences across their vast holdings. Manual data entry by farmers introduced further inconsistencies, threatening their valued business relationships.
Implementing our Local Enhanced-AI mapping (LAIM), we utilized a blend of satellite imagery and cutting-edge deep learning algorithms to deliver 3D remote sensing soil mapping. This comprehensive approach assessed organic carbon, carbon stock. In about 10 days, the farm had access to a thorough, lab-accurate mapping of their entire property.
Comparisons highlighted significant differences between our mapping and their previous methods. With this valuable information, the farm was able to strategically optimize land use, focusing on the most productive sectors and providing trustworthy data to their clients
“Regions we previously deemed optimal based on outdated sampling techniques revealed contrary findings. Now, equipped with a true understanding of our land’s health, we celebrated our inaugural year of carbon-negative production, a milestone unattainable without the prowess of the LAIM system” – [J.D.].
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