How Verdian Ag synthesizes multi-modal satellite remote sensing, FAO agronomic models, and empirical credit risk metrics into transparent, audit-ready farm intelligence.
Traditional smallholder lending faces severe information asymmetry, high monitoring costs, and a reliance on physical collateral that rural growers often lack. Verdian Ag solves this by converting continuous satellite telemetry and localized agronomic data into objective, monitorable credit metrics. By combining European Space Agency (ESA) multi-spectral imagery, synthetic aperture radar (SAR), and crop physiological modeling, Verdian Ag provides lenders with verifiable risk insights and farmers with a portable credit track record.
Our infrastructure ingests continuous satellite data from multiple orbital platforms, ensuring uninterrupted observation regardless of weather conditions or cloud coverage during critical growing periods.
Utilizes 10m spatial resolution optical bands refreshed every 5 days. We compute Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Leaf Area Index (LAI), and Normalized Difference Red Edge (NDRE) to evaluate chlorophyll absorption and active photosynthetic canopy vigor.
Operates cloud-penetrating C-band microwave radar (VH and VV polarizations). SAR backscatter signals penetrate dense cloud cover during heavy rainy seasons to track above-ground structural biomass accumulation, canopy geometry, lodging risk, and relative surface soil moisture.
Raw orbital data undergoes radiometric calibration, atmospheric correction (optical), and incidence angle normalization (SAR). Pixel-level metrics are filtered using cloud masks and spatially aggregated strictly within geofenced field boundaries verified via the Field Create web interface or WhatsApp GPS pin ingestion.
The Verdian Credit Score is a standardized 0–1000 composite performance metric that quantifies field-level agronomic reliability and estimated Probability of Default (PD).
Evaluates current optical vegetation vigor against multi-year regional crop historical curves.
Uses cloud-independent SAR radar backscatter to monitor structural integrity and canopy progression.
Monitors localized precipitation deficits, evapotranspiration rates, and thermal stress events.
Measures farmer responsiveness to localized agronomic advisories, planting windows, and input logging.
Yield forecasting integrates crop water productivity principles adapted from the FAO AquaCrop framework. By simulating daily crop transpiration, biomass accumulation, and harvest index development, our model estimates expected harvest volumes under localized climate stress scenarios.
Tracks green canopy cover percentage development from emergence through flowering to senescence.
Applies yield reduction factors when root-zone soil moisture depletion breaches critical crop thresholds.
Outputs baseline yield ranges (tonnes/ha) used by lenders to size crop input loans and evaluate debt service capacity.
Verdian Ag models field-level carbon sequestration to enable Sustainability-Linked Loans (SLL) and climate finance verification.
Estimated using cloud-penetrating SAR VH backscatter combined with multi-spectral canopy indices to calculate dry biomass weight per hectare.
Applies IPCC standard factors (50% dry biomass carbon composition) with the international 3.67 multiplier (molecular weight ratio of CO2 to C) to compute CO2 equivalent tonnes stored.
To support institutional credit committee reviews, Verdian Ag packages field intelligence into verifiable audit dossiers. Each Crop Credit Pack (CCP) bundles field boundaries, multi-season satellite time-series imagery, yield baselines, and risk scores into an immutable record complete with cryptographic hash verification and QR verification links for bank credit officers.
Standardized JSON data payload generated for core banking integration, risk consoles, and automated underwriting engines.
{
"field_id": "f83a21b4-791a-4c8d-93e1-2026ae8101a0",
"assessment_date": "2026-07-25T10:30:00Z",
"crop_type": "maize_white",
"area_hectares": 12.4,
"metrics": {
"verdian_score": 815,
"risk_grade": "A",
"probability_of_default": 0.021,
"vigor_index": { "current": 0.74, "regional_percentile": 88 },
"sar_structural_index": { "status": "optimal", "biomass_indicator": "high" },
"water_stress": { "status": "nominal", "depletion_percent": 28 },
"agronomic_compliance_ratio": 0.92
},
"carbon_sequestration": {
"co2e_tonnes_total": 14.8,
"sll_rate_discount_eligible": true
},
"audit_trail": {
"ccp_version": "2.4",
"verification_hash": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
}
}