The startup develops precision farming technology that utilizes deep neural networks to quantify soil parameters without the need for on-site hardware or personnel. This approach enables agribusinesses to enhance crop yields, optimize resource usage, and lower agricultural emissions through accurate soil intelligence.
Funding
$2.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional soil sampling and analysis methods are expensive, time-consuming, and lack the scalability needed to monitor soil health across large agricultural areas. This makes it difficult for agribusinesses to optimize resource use, enhance crop yields, and accurately measure carbon sequestration potential.
Solution
SmartCloudFarming provides a soil intelligence solution that leverages deep neural networks and remote sensing to quantify soil parameters without requiring physical samples in its GEAIM model. Their technology enables rapid, cost-effective soil carbon mapping and analysis at scales of up to 15,000 hectares per hour. The company offers both global (GEAIM) and local (LAIM) solutions, providing scalable insights and precise local data to maximize soil potential. SmartCloudFarming's services comply with international standards such as World Bank and VERRA VM0042, empowering farms to monitor soil regeneration, optimize yield, meet climate-based KPIs, and enhance soil organic carbon.
Target Audience
SmartCloudFarming serves agricultural companies, food and beverage companies, landowners, and carbon project developers seeking scalable, precise, and trustworthy soil intelligence data.
Features
- GEAIM: Global Enhanced AI Mapping, a zero-sample soil mapping option that scans up to 15,000 hectares per hour with 81% accuracy.
- LAIM: Local AI Mapping, which offers local calibration with an enhanced accuracy of 88% using a baseline of 15 samples.
- 3D soil maps at a depth of 30cm, quantifying land's carbon stock, soil organic carbon, and underlying texture.
- Patented deep neural networks extract unique fingerprint land features from the Area Of Interest (AOI).
- Secure digital cloud storage for measurement results and visualization maps.
- API integration for pushing data to existing systems.