Cloud Agronomics expands precision crop and soil health monitoring in Brazil

Cloud Agronomics, a Colorado-based agtech company, implemented an AI-powered hyperspectral imaging solution that revolutionizes soil carbon monitoring and crop disease detection for large-scale agribusiness. Their unique system uses aircraft-mounted hyperspectral sensors to collect massive amounts of data per flight, capturing insights into soil carbon, nutrients, and disease presence with significantly improved accuracy compared to traditional soil sampling. Partnering with Microsoft’s AI for Earth, Cloud Agronomics is expanding its offering into Brazil, leveraging Microsoft’s AI capabilities for advanced analytics on aerial imagery and agronomic data. The system is targeted at agribusinesses, insurers, and government agencies, helping them measure and monitor soil health, crop diseases, and optimize fertilizer use at scale. The AI solution demonstrated less than 10% error rate in soil carbon estimation versus up to 50–60% error in traditional methods. The expansion supports global scalability, environmental stewardship, and offers year-round analytics for varied crop types, delivering high-value, actionable insights to agricultural stakeholders.

1. 01Traditional soil carbon and nutrient monitoring is expensive, time-consuming, and labor-intensive, requiring physical samples and lab testing.
2. 02Conventional soil testing methods produce high variability and error rates, sometimes reaching 50%–60%.
3. 03Farmers and agribusinesses lack precise, actionable insights on soil health and crop disease.
4. 04Wide-scale monitoring is difficult, especially across large or geographically diverse regions like Brazil.
5. 05B2B stakeholders including insurers and government agencies need scalable and scientifically rigorous methods for monitoring and rewarding carbon sequestration.

1. 01Deployed aircraft-mounted hyperspectral imaging technology to remotely monitor soil carbon, nutrients, and plant disease at commercial scale.
2. 02Integrated massive aerial datasets with Microsoft’s AI for Earth platform for advanced analytics.
3. 03Combined hyperspectral imaging with satellite, IoT, and agronomic data for more comprehensive insights.
4. 04Expanded analytics capability globally, targeting regions including Brazil, with Microsoft partnership support.
5. 05Enabled precise nitrogen, phosphorus, potassium measurement and provided variable fertilizer recommendations.

1. 01Reduced soil carbon estimation error rates to less than 10% versus 50–60% in traditional sampling.
2. 02Unlocked scalable and efficient monitoring for agribusiness, insurers, and agencies.
3. 03Enabled real-time, actionable agronomic insights to maximize yield and minimize costs.
4. 04Expanded services to global markets including Brazil with year-round analytics.

• Deployed remote soil health monitoring at scale
• Added comprehensive agronomic analytics capability
• Expanded services into global markets including Brazil
• Strengthened Microsoft-enabled analytics partnership