Performance only counts when mass, quality and economics add up.
33CLEANFEED connects biological cultivation with process engineering. Input quality, crop recipe, water, climate, control, harvest, stabilisation, QA and batch data are designed as one controllable chain — and judged together.
From input to customer outcome.
- InputsSeed or propagation lot, water, supplier data, incoming checks
- Biological recipeCrop, growth phase, light, nutrition and timing
- Water & climateTreated water, air, humidity, temperature and energy
- ControlSafety PLC, edge control, alarms and bounded optimisation
- Harvest & stabilisationWeighing, representative sampling, drying where useful
- QA & releaseSpecification, lab method, hold or release decision
- TraceabilityDigital Batch Passport per lot, feedback to recipe and cost
- Customer outcomeMeasured value against the current alternative
Biology and process engineering, designed together.
Biology
Crop- and phase-specific recipes, harvest windows and composition measurements.
Utilities
Water, air, temperature, humidity, light and energy — each with an explicit measuring system.
Control & QA
Sensors, alarms, procedures, sampling, product release and corrective actions.
Data & economics
A batch record that links the physical mass balance, costs and the final customer outcome.
Higher fresh biomass is not automatically higher value.
In short-cycle hydroponic fodder, dry-matter losses, seed costs, energy, labour, climate technology, rejects, stabilisation and capital can consume the value of a fast cycle. That is why we steer on released, saleable dry matter and customer value — and why every financial model has to reconcile with the physical flow.
Illustration of the accounting logic only — bar lengths are not measured data. Fresh weight contains mostly water; the comparison that matters is how much dry matter is released and sold, at what quality and cost.
| Metric | Definition | Why it matters |
|---|---|---|
| Saleable dry matter | Released saleable fresh product × final dry-matter fraction | Comparable output regardless of water content |
| Dry-matter recovery | Released saleable dry matter / dry matter in the input seed | Shows whether biological and process losses are manageable |
| Reject rate | Rejected dry matter / gross harvested dry matter | Links QA, process stability and cost |
| Energy intensity | kWh / kg released saleable dry matter | Makes lighting, climate, water treatment and drying visible |
| Water intensity | Litres of process water / kg released saleable dry matter | Only comparable with a clear system boundary and water quality |
| Labour intensity | Minutes of direct labour / kg released saleable dry matter | Key for automation and scalability |
Design → instrumented pilot → process validation → customer validation → Core Unit → roll-out.
Each gate has explicit criteria. Large-scale industrial roll-out is a later step — it follows validated results, not a good-looking pilot.
- G0Design freezeP&ID, hazard log, suppliers, test matrix
- G1Instrumented pilotData completeness, safety, repeatability
- G2Process capabilityDry-matter balance, microbial control, recipe repeatability
- G3Customer validationWillingness to pay and measured outcomes
- G4Core Unit releasePositive contribution margin and service plan
- G5Fleet scaleReplicable commissioning and telemetry
An instrumented pilot cell
With QA sampling, metered water and climate utilities and a real cost ledger — a test bench, not a marketing demo.
Reproducible, measured, released
Reproducible released dry matter, a closed mass balance, microbial and process control, controllable composition and low labour per released kilogram.
Standardise what works
Capital for a standardised Core Unit and roll-out is released only when the measured results of the previous stage support it.
Focus = current priority · Design = worked out on paper · Internal R&D = our own research line · To be validated = needs measured, independent data · Roadmap = later route · Concept visual = illustration, not an existing installation.
Facing a feed or production question that needs measurable answers?
Describe your situation. We look together at whether a pilot, a validation track or a technical collaboration is the logical next step.