The TerraValue platform

One field. Six models. A clearer decision.

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

Illustrative scenario

TerraValue score

76/ 100

Weighted view across environmental performance and farm economics.

Modeled annual value

$482

per acre / year

Scenario lift

+$84 / acre

Soil carbon
74
Water quality
81
Water quantity
69
Biodiversity
77
Yield resilience
72
Economics
83

Cover crop + reduced tillage

Compare the economic and ecosystem effect before changing practice.

Scenario ready

Demonstration output. Estimates depend on field data, model assumptions, and validation status.

How it works

A decision workflow, not another sustainability report.

01Context

Build the field record

Location, soil, weather, crop system, management history, and economic assumptions come together in one structured profile.

Output

Field context graph

02Intelligence

Run connected models

Six modular engines evaluate the same scenario so environmental and financial tradeoffs are visible together.

Output

Comparable outcomes

03Decision

Compare the pathways

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

Connected where decisions overlap.

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.

Soil carbon

Signals

Soil organic matter, tillage, rotation, cover crops, climate

Outputs

Stock direction, sequestration potential, carbon value

Water quality

Signals

Nutrients, erosion, slope, soil texture, field practice

Outputs

Runoff risk, nutrient loss, watershed value

Water quantity

Signals

Infiltration, holding capacity, precipitation, irrigation

Outputs

Capture efficiency, drought exposure, water savings

Biodiversity

Signals

Rotation diversity, habitat, disturbance, soil biology

Outputs

Habitat quality, pollinator support, biodiversity signal

Yield resilience

Signals

Weather, soil health, crop history, management, irrigation

Outputs

Yield stability, downside exposure, productivity trend

Farm economics

Signals

Practice cost, input savings, yield effect, incentive potential

Outputs

Net benefit, payback, ROI, modeled value per acre

The defensibility architecture

Each layer makes the system harder to replace.

A score can be copied. A traceable, calibrated, field-level evidence system compounds across data, models, decisions, and observed outcomes.

01

Data foundation

Soil · Weather · Geospatial · Management · Crop history · Farm economics

02

Model orchestration

Replaceable scientific modules · Versioned assumptions · Calibration · Uncertainty

03

Outcome ledger

Source lineage · Scenario record · Confidence · Environmental and financial interpretation

04

Decision network

Field comparison · Portfolio learning · Observed outcomes · Incentive and finance pathways

Methodology standards

Trust is a product feature.

TerraValue is designed to show its work. That is essential when environmental estimates become inputs to operating or financial decisions.

01

Visible assumptions

Inputs and default values are presented as part of the decision, not hidden behind a single score.

02

Source traceability

Citations and model provenance distinguish public evidence, user data, and TerraValue calculations.

03

Explicit uncertainty

Ranges, confidence, and validation status make it clear where an output is directional rather than verified.

04

Replaceable models

Each module can progress from literature-based logic to calibrated scientific models without breaking the workflow.

Decision outputs

Useful before, during, and after a practice change.

Scenario comparison

Compare a baseline with cover crops, tillage, rotation, nutrient, or irrigation changes before implementation.

Economic case

Bring practice cost, input savings, yield impact, ecosystem value, ROI, and payback into one view.

Evidence record

Preserve the data, assumptions, model versions, confidence, and results behind each field-level decision.

Outcome layer · early access

A complete 45Z credit workflow, from carbon intensity to audit trail.

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.

Explore the 45Z tool

For fuel producers, feedstock suppliers, and buyers.

See the system

Explore the model with a real scenario workflow.