Adelphi’s harvest forecast shows how regeneration can become a recurring revenue stream.
Adelphi’s production model is designed around one practical question:Can a regenerative farm produce short-term cash flow, long-term perennial value, public goods funding, and verifiable impact at the same time?This page explains the forecast behind Adelphi’s crop system: what is planted, how production is calculated, which assumptions are used, how revenue is projected, and how actual harvest records refine the model over time.
Forecasts are planning assumptions, not guaranteed outcomes. Actuals are tracked through the Kokonut Hub and refined through MRV.
This page is an operational forecast for farm planning and impact modeling. It is not financial advice, an investment guarantee, or a promise of future returns. Weather, pests, soil conditions, labor, market access, and pricing can materially change actual results.
Revenue summary at a glance
10% of gross crop revenue — approximately $14,911.09/yr — is allocated to public goods activities per the Kokonut Common Data Schema. Actual harvests, prices, losses, and revenue records should be checked against hub.kokonut.network/projects/41.
What this forecast helps prove
Regeneration can create near-term cash flow
Short-cycle crops like lettuce create recurring harvests while slower perennial systems mature.
Perennials create long-term cooperative value
Coconut trees become the long-cycle anchor of the farm and the real-world backing logic behind Kokonut’s tree-linked governance model.
Public goods can be budgeted into production
A 10% allocation to public goods funds workshops, seedling distribution, nursery operations, and education.
Forecasts can become verifiable records
The forecast becomes credible only when actual harvests are measured through MRV and published to the live Data Hub.
Forecasting model
All crop forecasts derive from the same base formula:The most important number on this page is not the projected revenue total. It is the difference between the forecast and the actual. Actual harvest records should be used to improve the next planting cycle, refine the loss rate, and make future forecasts more accurate.
Crop mix overview
Adelphi uses a three-cycle production model, so revenue arrives across different time horizons.
This staggered structure is central to syntropic farming: species at different successional stages occupy the same land simultaneously, support each other’s growth, and generate independent value at different times.
How the forecast becomes a feedback loop
The forecast should not stay static. As Adelphi collects actual harvest data, the model can improve:- planting density assumptions can be adjusted;
- Loss rates can be updated by crop and season;
- local selling prices can be refined;
- Public goods allocations can be calculated from actual gross revenue;
- Future farms can reuse the improved model.
Short cycle — Lettuce
Lettuce is the short-cycle cash-flow engine of Adelphi’s forecast.Production variables
The annual projection uses 5 harvests per year as the conservative planning figure. Fast-growing loose-leaf varieties can theoretically achieve 8–10 cycles per year, but the revenue forecast uses 5 to account for preparation, soil recovery, operational variability, and seasonal conditions.
Applied example
Production time by variety
Selling price and revenue
The lettuce model uses a conservative wholesale planning price of $0.55 per unit. A higher price of $0.63 per unit is treated as upside, not the baseline forecast.What to verify in the Data Hub
- actual units harvested per cycle;
- actual loss rate by harvest;
- actual selling price per unit;
- rejected, donated, consumed, or unsold units;
- seasonal differences across planting windows.
Medium cycle — Passion fruit
Passion fruit is Adelphi’s medium-cycle compounding crop. It does not reset as quickly as lettuce; productive capacity builds as vines mature.Production variables
Applied example
Revenue characteristics
The net-based selling format of $3.01 per net of 13 fruits is the planning baseline used for wholesale-style distribution. Direct community sales, organic market channels, or certification-supported distribution may create upside, but those should be tracked separately from the baseline forecast.What to verify in the Data Hub
- actual fruit count per plant;
- actual net size and packaging losses;
- wholesale vs direct-sale prices;
- vine establishment period;
- pest and disease pressure;
- seasonality of demand.
Long cycle — Coconut
Coconut is the long-cycle anchor of the farm and the crop most directly connected to Kokonut Network’s cooperative identity.Production variables
Applied example
Revenue characteristics and timeline
Coconuts do not generate revenue immediately. The first harvest typically occurs 3–5 years after planting, with full yield developing over subsequent seasons. This delayed payback is why Adelphi uses short and medium-cycle crops. Lettuce and passion fruit bridge the establishment period while the coconut system matures. Once established, coconut trees can produce for up to 20 years under optimal conditions. When a tree ends its productive life, it is replanted, restarting the production cycle and continuing the cooperative model.Additional value streams beyond fresh coconut
- Coconut oil, milk, and water;
- coconut husks for on-site fertility and soil inputs;
- harvested wood for furniture and construction materials;
- long-term tree-backed cooperative legitimacy.
What to verify in the Data Hub
- number of surviving trees;
- tree health and age class;
- first harvest date;
- coconuts per tree;
- actual price per coconut;
- derivative-product revenue if processing is added.
Continuous production — Poultry eggs
The farm integrates 110 free-range laying hens, with an estimated production of ~100 eggs per day or ~36,500 eggs per year. Egg revenue is intentionally listed as an additional revenue stream rather than included in the crop revenue total until pricing, distribution, and loss assumptions are finalized.
The poultry system also supports the regenerative fertility loop. Hens produce manure that can be processed into humic acids and organic urea, reducing dependence on external synthetic inputs.
Read the infrastructure page →
Combined revenue and public goods allocation
Forecast risk and sensitivity
Every forecast depends on assumptions. Adelphi’s planning model should be read with these variables in mind:Forecasts should become more accurate over time. The goal is not to defend the first projection forever; the goal is to use live harvest data to improve the model.
How actuals are verified
Adelphi’s harvest forecast becomes credible only when actual farm activity is measured.
Read the MRV methodology →
What this page supports
Farm operators
Use the forecast as a planning model for planting schedules, crop mix, harvest tracking, and expected cash flow.
DAO members
Inspect the assumptions underlying the farm’s revenue model before evaluating proposals, reports, and public-goods allocations.
Impact reviewers
Compare projected revenue, jobs, public goods allocation, and SDG impacts against actual farm records.
Builders and data contributors
Improve the calculator, forecast models, MRV schemas, dashboards, and Data Hub integrations.
Next steps
Crops, Biodiversity & Infrastructure
The physical production system behind these numbers — beds, plots, poultry, nursery, biofactory, and soil regeneration.
MRV — Measurement & Verification
How every harvest cycle becomes structured data, public evidence, and verifiable impact records.
SDG Impact Calculator
Use Adelphi’s parameters to estimate SDG scores, carbon outputs, employment effects, and impact alignment.
Adelphi Data Hub
The live source of truth for actual harvest records, MRV events, milestones, and farm data.
Sustainable Development Goals
How this revenue model supports No Poverty, Zero Hunger, Gender Equality, Decent Work, and Life on Land.
Adelphi Executive Summary
The full farm overview — project context, founders, Framework phase status, proof metrics, and live data links.