Kokonut Framework Tool
Estimate how a regenerative farm maps to SDG impact.
Use this calculator to model how farm size, labor, crop diversity, certification, biodiversity work, and MRV readiness can influence indicative SDG contribution scores.
Use as a planning tool, not a certified assessment. Scores are indicative. Impact claims should be verified through farm records, MRV payloads, public Data Hub entries, and annual reports before they are used in proposals or public reporting.
Estimated outputs
These outputs help compare scenarios before field evidence is collected.
Indicative annual revenue
—
gross USD estimate
Public goods allocation
—
10% of gross revenue
Jobs supported
—
full-time equivalent
Carbon co-benefit
—
t CO₂e / yr, indicative
Primary SDG contribution scores
Adelphi tracks five primary SDGs. SDG 13 is shown separately as a climate co-benefit until carbon methodology is fully operationalized.
Assumptions
| Input | How it affects the model |
|---|---|
| Crop system | More diverse systems increase food, biodiversity, and resilience scores, but can reduce simple revenue-per-m² assumptions. |
| Workers | Employment affects SDG 1 and SDG 8, especially when paired with training and stable farm operations. |
| Women-led | Women-led ownership or management increases SDG 5 and reinforces household and community resilience. |
| MRV-ready | MRV readiness improves confidence because claims can be checked against records, attestations, and reports. |
Verification checklist
| Claim | Evidence to collect |
|---|---|
| Food production | Crop cycles, harvest logs, egg records, and distribution records. |
| Jobs and training | Role descriptions, payment records, workshop attendance, and contributor logs. |
| Biodiversity | Species inventory, nursery records, geospatial data, and field observations. |
| Climate co-benefit | Soil data, vegetation indices, methodology notes, and annual MRV reporting. |