Deterministic Agronomic Engine v2.4

Methodology & Data Sources

Agronomic decision support requires verifiable transparency. Every score, envelope boundary, and farm-gate revenue estimate is grounded in deterministic physics and published benchmarks.

Data Freshness
Live prices synced daily · Climate models updated monthly
Scoring Architecture
Agronomic, management and economic assessments
Deterministic Scoring
No Generative AI hallucination in scoring or pricing
Audit Framework

How to use the evidence

Last verified:11 September 2026

Use this page to trace a report's inputs and assumptions, then challenge the limiting factors before making a field, conversion, or investment decision. A mapped or modelled result is a screening layer; local soil tests, water checks, buyer terms, professional agronomy, and legal or financial due diligence remain separate evidence.

Source trace

Reports and tools state the dataset or benchmark used for each decision layer.

Resolution

Coverage and precision vary by coordinate, dataset, time window, and user-supplied evidence.

Verification

Local manual inputs automatically override gridded HWSD2 and ERA5 baselines.

Evidence map for AgriAuditor methodology
RequirementObservationFit / Shortfall RulePrimary Source / Next Check
Climate and SoilCoordinate-based mapped & modelled layers with stated fallback paths.Resolution varies; local measurement replaces mapped inputs.Open-Meteo, FAO HWSD2, NASA POWER
EconomicsDated benchmarks and editable assumptions feed the commercial screen.Reference economics do not establish a buyer, forecast, or guaranteed margin.FAOSTAT, World Bank, Local Records

Price Sources & Assumptions

Price estimates use available market data and agricultural production references. The report identifies the source used and flags stale, reference or user-supplied prices. Confirm expected selling prices and input costs with local buyers and suppliers.

Crop Suitability

Crop requirements are assessed against the available climate, soil and terrain information. Review the reported constraints and evidence gaps, and confirm important decisions with field measurements and local agronomic advice.

Interpreting Results

The overall result summarizes agronomic suitability, management needs and the economic outlook. Seasonal scenarios describe possible outcomes, not guarantees. Report provenance records sources, assumptions and version identifiers so you can trace the assessment.

Primary Data Feeds

Data Sources & Climate Telemetry

Climate & Weather (3-Level Fallback)

Historical mode: (1) Open-Meteo ERA5 reanalysis archive, (2) Open-Meteo CDN mirror, (3) NASA POWER Agroclimatology API. Forecast mode uses CMIP6 MPI-ESM1-2-XR under SSP2-4.5 scenarios. All climate windows are derived from the FAO-defined crop calendar for the target latitude.

FAO HWSD v2.0 Soil Mapping

Soil properties are sampled from the raster grid cell containing your selected coordinates. Top-layer physical properties—pH, nitrogen, SOC, CEC, texture, AWC, salinity (ECe), ESP, and drainage—are queried from the locally hosted HWSD2 database.

Some HWSD2 map units carry no agronomic data. Where that happens, continuous soil properties are taken from OpenLandMap 30m instead, and the report names it as the source. Locations with genuine HWSD2 data are never substituted.

Research report model card

Responsible organization: AgriAuditor · Last reviewed: 9 August 2026

Import Gap

Annual U.S. net imports (imports minus exports), shown in rounded kilotonnes from 2023 FAOSTAT Trade bulk snapshots as a screening signal.

Search Interest

Google Trends is sampled, normalized, and relative on a 0–100 scale. It is not a purchase, planting-intent, or market-demand measure.

Climate Screen

Deterministic climate-envelope output is a separate evidence layer. It does not establish soil or infrastructure feasibility for a specific field.

Primary source terms and report-specific settings are recorded on each report. See Import Gap and Search Interest. Send corrections or custom requests through the contact page.

Authoritative Data Sources

FAO Harmonized World Soil Database v2.0 · FAO FAOSTAT Producer Prices · FAO Food Price Index (FFPI) · Open-Meteo ERA5 Reanalysis · NASA POWER Agroclimatology · CMIP6 SSP2-4.5 Climate Projections · World Bank Price Level Index (PLI) · World Bank Agricultural Wage Data · Alpha Vantage Commodity Feeds · MERIT DEM Topography

Some crop climate requirements are taken from PROTA (Plant Resources of Tropical Africa) and PROSEA (Plant Resources of South-East Asia), with the permission of the Plant Resources of the World (PROW) fund: PROTA Precursor (2002); PROTA 1: Cereals and pulses (2006); PROTA 14: Vegetable oils (2007); PROSEA No 13: Spices (1999); PROSEA No 19: Essential-oil plants (1999). Databases: Prota4U · Prosea

This platform produces agro-economic intelligence reports intended to support—not replace—professional due diligence by qualified agronomists, financial analysts, and legal advisors. It does not constitute financial advice or investment recommendation.