Carbon & Income Calculator
Scenario-based planning for farmer income, carbon output, and investor impact. If you need a field-specific, no-assumption, fully AI-based estimate, request our DRAUPADI framework model.
Estimate your carbon — trees + soil
A real estimate from our engine: tree biomass (Chave 2014) plus soil carbon (IPCC defaults for your state and soil). Indicative only — the verified version is measured.
Base calculator with fixed assumptions
These baseline values stay fixed; scenario toggles change the planning outlook, not the page structure.
Fixed planning assumption
Per acre, per year
Simple field planning value
For long-term planning
Built for farmers, investors, and CSR teams
Switch between scenario views to compare conservative, base, and aggressive outcomes.
Farmer view
Estimate annual farm value from carbon, trees, and crop improvement using the selected scenario.
Scenario-based estimate
Soil improvement effect
Balanced case for most project designs.
Real value summary
A simple business case view that speaks to financial and climate benefit.
Farmer-side annual value
Long-term projection
Annual carbon contribution
Long-term climate impact
Expected annual value range: ₹29,827 to ₹1,03,518. Expected climate range: 2.9 to 6.4 tCO₂/year.
Proof levels
Understand how estimates evolve from planning to field-validated AI models.
Based on fixed assumptions and selected scenario. Useful for quick sizing and communication.
Incorporates soil tests, crop mix, rainfall bands, and survival data from similar regions.
No assumptions. Uses farm-level data (soil, climate, crop plan, tenure) to produce bankable projections.
Request modelAssumptions
These are controlled planning inputs, not a substitute for field measurement.
- Base sequestration: 1.8 tCO₂/acre/year
- Scenario survival rate: 88%
- Scenario verification factor: 92%
- Farmer share of carbon revenue: 60%
- Tree estimate: about 100 trees per acre
Important disclaimer
Use the calculator for planning. Use the custom AI model for bankable outputs.
This page uses simplified assumptions and scenario logic. Actual results depend on soil type, crop choice, rainfall, tree survival, implementation quality, verification method, and market conditions.
For a field-specific, no-assumption, fully AI-based estimate, request the DRAUPADI framework based AI model from the contact page.
Why this feels like a product
Clear scenarios, fixed assumptions, and outcome cards make it easier to trust and share.
Compare the annual value of carbon, agroforestry, and crop uplift.
Estimate funded acreage, annual carbon value, and gross project returns.
Translate sustainability budgets into measurable farm-level impact.
Practical improvement tips
Simple actions that improve soil, yield, and project performance over time.