Our Services
AI-powered geospatial solutions designed to improve productivity, sustainability, and climate resilience across the agricultural value chain.
Farmland Boundary Detection
We accurately map and digitize farm boundaries using high-resolution satellite imagery and machine learning models. This forms the foundation for all downstream analytics, ensuring every insight is spatially precise and field-specific.
Soil Nutrient Prediction
Our AI models combine satellite signals with ground-truth soil data to estimate key soil parameters such as Nitrogen, Phosphorus, Potassium, pH, and organic carbon. The outputs are delivered as crop-specific fertilizer recommendations.
Crop Health Monitoring
Using vegetation indices like NDVI and multi-spectral analysis, we continuously monitor crop vigor across the season. Early warnings help detect stress caused by pests, diseases, nutrient deficiencies, or water scarcity.
Yield Analysis & Prediction
We analyze historical crop performance, weather trends, soil conditions, and real-time growth indicators to deliver accurate yield forecasts. These insights support better harvest planning, logistics, and market decisions.
Carbon Stock Estimation
Tensor estimates carbon sequestration in soil and biomass using remote sensing, biophysical models, and field data. These estimates can be verified through third-party registries, enabling participation in regulated carbon markets.
Farmland Productivity Analysis
We integrate spatial, temporal, and agronomic indicators to assess overall farm productivity. The analysis highlights underperforming zones and provides actionable recommendations to improve long-term farm efficiency.