Coffee agroforestry carbon deserves to be measured as agroforestry — not benchmarked as forest.

Every carbon model today is trained on dense forest. We're building the first one trained on complex agroforestry landscapes, starting with coffee — and we're inviting coffee partners to co-build and validate it.

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The Problem

Carbon and biomass numbers for coffee are borrowed from models trained on dense tropical forest. Coffee agroforestry isn't forest — open canopies, mixed shade species, pruning, fragmented smallholder plots. Forest models import a structural bias, exactly where ~80% of coffee comes from. No model has been built for these systems. Yet.

What we're building

A carbon and biomass model trained on real agroforestry data — combining Earth Observation (Sentinel, GEDI) with field measurements from actual coffee plots. Built within RegenWise, Sand to Green's evidence platform, with Space4Good as Earth Observation partner. The model is only as good as the ground it learns from — which is where you come in.

Why co-build it with us

Shape a sector-first model built for agroforestry, not a vendor's black box
First access to a model trained for your systems
We bring and fund the fieldwork — low lift on your side
Validation-stage collaboration: no cost, no premature accuracy or carbon claims

We're building it with

Work with coffee agroforestry plots? Help train the model.

Give access to a few plots; we handle and fund the measurement; you help build — and get first look at — the first carbon model designed for coffee agroforestry. Especially keen on Latin-American and African shade-coffee contexts.

Become a data partner

Funded by the European Union. Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them.