Plot Geolocation and Polygons for Coffee Under EUDR

Updated 2026-11-02 · 4 min read · By the akar.earth specialist team

EUDR geolocation for coffee: mapping small, steep, shaded Indonesian coffee plots, points vs polygons, GPS accuracy under canopy and data checks before export.

For coffee under the EUDR, each farm plot needs geolocation: a point with at least six decimal places for plots of 4 hectares or less, and a polygon for plots over 4 hectares. Indonesian coffee gardens are mostly small, steep and shaded, so the challenge is less the legal rule than getting accurate, plot-by-plot data in hard terrain.

What makes coffee mapping different

Coffee plots in Indonesia share features that complicate mapping:

• Small and many. A typical farmer has one to three gardens, often under 2 hectares each. A single exporter’s supply base can run to thousands of plots.
• Steep terrain. Arabica in Gayo, Toraja, Flores and the Java highlands grows on slopes and in valleys where GPS signal is weaker.
• Shade. Many gardens grow under shade trees, from planned legume shade in Gayo to mixed fruit and timber trees in robusta areas.
• Scattered. Gardens can be an hour’s walk from the village, sometimes at the edge of forest.
• Informal boundaries. Borders between neighbours are marked by trees, paths or memory.

Point or polygon?

Points are fast but carry risk. A point placed at a garden’s lower edge, next to forest, can produce a false deforestation flag. A polygon shows exactly what is and is not the garden. See polygon requirements.

Field methods that work for coffee

Walk the boundary with the farmer. The farmer knows the edge. Walk slowly, pause at corners, and record. Use a phone app that averages positions.

RTK GNSS for difficult sites. Survey-grade receivers keep useful accuracy under canopy and on slopes, especially with good correction data. See RTK GNSS plot mapping.

Digitise on imagery. For dense shade, draw the boundary on high-resolution imagery with the farmer, then confirm a few points on the ground.

Drone mapping. For a cluster of gardens in one valley, a drone flight gives a base map for digitising many plots at once. See drone photogrammetry.

Our AKAR Mapper supports all four and checks geometry in the field.

What to record with each plot

• Unique plot ID and farmer ID.
• Coffee type (arabica or robusta) and approximate planting year.
• Shade system: species and rough density of shade trees.
• Land basis: SHM, SKT, social forestry permit, customary.
• Collector or cooperative the farmer sells to.

Planting year and shade data help resolve flags where imagery is ambiguous, and they are useful for carbon programmes later.

Linking geolocation to lots

Collectors and cooperatives must record which farmers supplied each purchase. For arabica processed as wet parchment, this means recording at the point of first purchase, before coffee is mixed. For robusta sold as dried cherry or green beans, the same applies at the village collector.

A simple test: can you list the plots behind any given export lot? If not, the geolocation, however good, does not connect to the product.

Quality checks before export

1. All coordinates in WGS84 with six or more decimals.
2. Polygons valid and closed.
3. No duplicates: the same garden registered by two collectors.
4. Plot areas plausible for the declared volumes.
5. Plots checked against protected area and forest estate boundaries.

Origin notes

• Lampung and Bengkulu robusta: many gardens near Bukit Barisan Selatan; record social forestry permit boundaries where they apply.
• Gayo arabica: cooperatives often hold member lists; mapping can piggyback on internal inspections.
• Toraja and Flores: steep, fragmented gardens; budget more time per plot.
• Java: some coffee grows on state forest land under partnership schemes; map against those boundaries.

Common field mistakes

• Taking the point at the farmer’s house or drying floor, not in the garden.
• Mapping one garden per farmer when the farmer has two or three.
• Walking only the accessible side of a garden on a steep slope and closing the polygon with a straight line.
• Forgetting to note gardens that are no longer harvested, which can later be used to cover coffee from elsewhere.
• Not recording which collector the farmer sells to in each season.

Field teams catch these when the app shows the polygon on imagery immediately after capture.

Next steps

See coffee smallholders for farmer engagement, and the EUDR hub for the full topic map. For a coffee mapping campaign, see our field data campaigns or message us on WhatsApp.