Build the field record
Location, soil, weather, crop system, management history, and economic assumptions come together in one structured profile.
Output
Field context graph
The TerraValue platform
TerraValue turns fragmented farm and environmental data into scenario-level intelligence that producers, researchers, and capital partners can examine together.
Field intelligence
Clay County, Iowa
TerraValue score
Weighted view across environmental performance and farm economics.
Modeled annual value
$482
per acre / year
Scenario lift
+$84 / acre
Cover crop + reduced tillage
Compare the economic and ecosystem effect before changing practice.
Demonstration output. Estimates depend on field data, model assumptions, and validation status.
How it works
Location, soil, weather, crop system, management history, and economic assumptions come together in one structured profile.
Output
Field context graph
Six modular engines evaluate the same scenario so environmental and financial tradeoffs are visible together.
Output
Comparable outcomes
Users see what changes, why it changes, how confident the estimate is, and what the decision could mean in dollars.
Output
Actionable scenario
The model stack
The modules share one field context but remain independently testable. That keeps the product integrated without treating every outcome as if it came from the same method.
Signals
Soil organic matter, tillage, rotation, cover crops, climate
Outputs
Stock direction, sequestration potential, carbon value
Signals
Nutrients, erosion, slope, soil texture, field practice
Outputs
Runoff risk, nutrient loss, watershed value
Signals
Infiltration, holding capacity, precipitation, irrigation
Outputs
Capture efficiency, drought exposure, water savings
Signals
Rotation diversity, habitat, disturbance, soil biology
Outputs
Habitat quality, pollinator support, biodiversity signal
Signals
Weather, soil health, crop history, management, irrigation
Outputs
Yield stability, downside exposure, productivity trend
Signals
Practice cost, input savings, yield effect, incentive potential
Outputs
Net benefit, payback, ROI, modeled value per acre
The defensibility architecture
A score can be copied. A traceable, calibrated, field-level evidence system compounds across data, models, decisions, and observed outcomes.
Soil · Weather · Geospatial · Management · Crop history · Farm economics
Replaceable scientific modules · Versioned assumptions · Calibration · Uncertainty
Source lineage · Scenario record · Confidence · Environmental and financial interpretation
Field comparison · Portfolio learning · Observed outcomes · Incentive and finance pathways
Methodology standards
TerraValue is designed to show its work. That is essential when environmental estimates become inputs to operating or financial decisions.
Inputs and default values are presented as part of the decision, not hidden behind a single score.
Citations and model provenance distinguish public evidence, user data, and TerraValue calculations.
Ranges, confidence, and validation status make it clear where an output is directional rather than verified.
Each module can progress from literature-based logic to calibrated scientific models without breaking the workflow.
Decision outputs
Compare a baseline with cover crops, tillage, rotation, nutrient, or irrigation changes before implementation.
Bring practice cost, input savings, yield impact, ecosystem value, ROI, and payback into one view.
Preserve the data, assumptions, model versions, confidence, and results behind each field-level decision.
Outcome layer · early access
The calculator applies GREET-aligned carbon-intensity logic, enforces the IRC §45Z eligibility guardrails, and exports the result as PDF or CSV for diligence and review. Start with the plain-English guide—calculator access opens to the waitlist first.
For fuel producers, feedstock suppliers, and buyers.
See the system