This page is a forecast model — not a record of achieved harvests or revenue.
Adelphi’s crop model estimates how short-, medium-, long-cycle, and continuous production could perform under a defined set of assumptions. It is useful for:- planting and production planning;
- comparing crop timelines;
- estimating gross-revenue scenarios;
- testing loss and price assumptions;
- planning data collection;
- comparing forecasts with actual harvest records over time.
Compare with published farm records
Use the Kokonut Hub for current published harvest, MRV, milestone, and farm records.
Understand the evidence standard
See why a forecast remains a model until actual farm records are collected, reviewed, and published.
How to read this model
The forecast combines crops that operate on different timelines. That means the headline annual total is best understood as a steady-state planning snapshot, not a guaranteed single-calendar-year result.Coconut revenue should not be added to an early-year cash-flow expectation before the trees reach productive maturity. Likewise, passion-fruit and poultry performance should be reconciled against establishment and production records rather than assumed from the model.
Current documented assumptions
These are the assumptions currently encoded in the Adelphi forecast documentation.The model should become less assumption-heavy over time. Every harvest, sale, loss, and operating record can replace a planning value with a farm-specific actual.
Documentation inconsistency: public-goods allocation
The repository currently contains two conflicting Adelphi allocation models.Farm / Framework documentation
The current:- Common Data Schema;
- 8 Forms of Capital page;
- Adelphi SDG page;
- Adelphi forecast page
Regenerative Finance Playbook
Some ReFi Playbook pages describe a different Adelphi-specific split:- 40% to the Hernández family as farm operators;
- 40% to a public-goods fund;
- 20% to Kokonut Network.
Forecast summary
The $149,110.87 figure is a combined gross-revenue planning snapshot using the assumptions above. It is not net income, EBITDA, distributable cash, or a guaranteed annual result.
Core calculation logic
The crop model starts from a simple production relationship:Short cycle — lettuce
Lettuce is the largest modeled gross-revenue stream in the current forecast.Current variables
Production calculation
Revenue calculation
What is still an assumption
The repository currently describes:- 30–45 days for loose-leaf lettuce;
- 60–75 days for head lettuce;
- 5 modeled harvests per year.
What actuals should replace
- planted units;
- germination / establishment loss;
- field loss;
- harvest quantity;
- quality grade;
- rejected units;
- donated or consumed units;
- sold units;
- sale price;
- buyer/channel;
- harvest date;
- days from planting to harvest.
Lettuce sensitivity
The baseline forecast is highly sensitive to both losses and price.Loss-rate sensitivity at $0.55/unit
Price sensitivity at the 15% loss baseline
These sensitivity tables are derived directly from the existing Adelphi model assumptions. They are scenarios, not new price or yield forecasts.
Medium cycle — passion fruit
Current variables
Production calculation
The existing forecast monetizes only complete nets.
It does not assign revenue to the seven-fruit remainder, nor does it model packaging cost, damaged fruit, direct-sale pricing, or different buyer channels.
Actuals needed
- surviving vines;
- establishment date;
- fruit count per vine;
- harvest periods;
- grade/rejection rate;
- package size;
- packaging loss;
- realized sale price;
- buyer/channel;
- unsold or donated fruit.
Long cycle — coconut
Coconut is the long-duration crop in the current planning model.Current variables
Production calculation
Potential derivative products—oil, milk, water, husk, fiber, or timber—are not included in the baseline revenue total.
If those become real commercial streams, they should have separate:
- processing assumptions;
- yield conversions;
- costs;
- prices;
- market evidence;
- actual sales records.
Continuous production — poultry
Adelphi documents 110 free-range laying hens. The current model estimates:- laying rate by period;
- flock size changes;
- mortality;
- feed and forage inputs;
- egg loss/breakage;
- eggs consumed or donated;
- eggs sold;
- packaging;
- sale price;
- buyer/channel;
- poultry operating costs.
Combined gross-revenue model
Using the current crop assumptions:- net revenue;
- profit;
- cash available for distribution;
- household income;
- DAO income;
- guaranteed annual revenue.
Public-goods scenario under the 10% farm assumption
If the current 10% gross-revenue allocation assumption is applied to the full modeled crop total:- workshops;
- education;
- nursery operations;
- seedling distribution;
- community programming.
Forecast → actual → revised forecast
The model should behave as a learning system. For each cycle, the farm should be able to calculate:Minimum actuals dataset
To make this forecast genuinely operational, each harvest should preserve enough information to answer:Risk and uncertainty register
What this forecast can support today
Production planning
The model defines the crop counts, cycle assumptions, loss rate, and expected output used for planning.
Scenario analysis
Assumptions can be changed to understand how loss, price, harvest frequency, and maturity affect modeled outcomes.
MRV design
The forecast identifies which actual records must be collected to test each assumption.
Variance learning
Forecast-vs-actual comparison can make future farm planning increasingly farm-specific.
What it does not support yet
- guaranteed annual revenue;
- farm profitability;
- operator income;
- distributable DAO revenue;
- proven public-goods funding;
- realized household economic impact;
- verified food-security impact;
- mature coconut revenue before maturity;
- poultry revenue without a pricing and sales model.
Sources of truth by question
Continue through Adelphi
Compare with live farm data
Use published farm records to replace planning assumptions with actual performance where available.
Crops, Biodiversity & Infrastructure
See the physical systems behind the production assumptions.
MRV — Evidence Standard
Understand how harvest and sales records should move from observations into reviewed evidence.
Sustainable Development Goals
See which economic and food-production SDG claims remain forecasts and which require actual records.
Adelphi Overview
Return to the canonical farm overview and documented state.
Open Collaboration
Help improve forecast assumptions, crop economics, record quality, variance analysis, or farm-data tooling.
A good forecast is not one that stays correct forever. It is one that becomes more accurate because reality is allowed to update it.