EU project · FORWARDSIn development

ForestMind

Ask the ForestWard Observatory in plain language.

ForestMind is an AI agent that gives natural-language access to the Observatory's forest data. Ask a question about a stand, a region or a species. The agent picks the datasets, reads them through tools and answers with numbers, units, maps and the list of datasets it used.

Contact the team

The ForestMind interface is not public yet. A first version is planned for May 2027, with sign-in. We will link it here when it opens.

European Union emblemFunded by the European Union
Illustration · planned interfaceNot a screenshot

What you get

An answer you can check, not just a number.

  1. 01

    Numbers with units

    Figures come from the tool results on the Observatory's data, not from the model.
  2. 02

    Maps

    The area you asked about, with the layers the answer is built on.
  3. 03

    The datasets used

    Every answer names its datasets and their dates, so it can be audited.
  4. 04

    Reports and alerts

    Multi-step analyses as reports, and scheduled monitoring by email. Planned.

Who it is for

For people who need the answer, not the GIS workflow.

No GIS skills and no scripting needed.

  • Forest managers

    A question about a stand, not a script.

    Example: “Produce a forest management plan report for my 95 ha stand.”

  • Regional authorities

    Screening across a region, on demand.

    Example: “Which parts of the region show the largest disturbance footprint?”

  • Policymakers

    Evidence they can read, with sources.

    Example: “Which datasets support this figure, and from what year?”

  • Researchers

    Explore what the Observatory holds without writing queries first.

    Example: “What is the dominant tree species within 5 km of Hyytiälä?”

Illustration of a chat answer with invented numbers: the dominant tree species and the mean biomass within 5 km of a research station, a map of the buffer and the datasets used.
Illustration · invented numbersNot the ForestMind interface

How it works

From a plain question to an auditable answer.

The ForestWard Observatory, run by the Swedish University of Agricultural Sciences (SLU) inside the FORWARDS project, serves forest data on tree species, biomass, disturbances and field inventories. ForestMind is a conversational layer on top of it.

  1. You ask in plain language, the way you would ask a colleague.
  2. The agent chooses which Observatory datasets can answer, and where they cover.
  3. It reads the data through tools that query the Observatory read-only.
  4. You get the answer with numbers, a map and the datasets used.

The chat shown is an illustration with invented numbers. It is not a real answer and not the ForestMind interface.

What the agent does

Ask, analyse, monitor.

ForestMind is being built in stages. Here is what each capability is, and where it stands today.

  • In testing

    Ask

    A question in plain language becomes a query on the Observatory. The answer comes back with numbers, units, a map and the datasets used.

  • In development

    Analyse

    A complex question is split into steps, run in parallel and returned as a report: an HTML document today, PDF later, with maps, charts, methodology and data provenance.

  • Planned

    Monitor

    Recurring analyses run on a schedule, with alerts that arrive by email when a threshold is crossed.

Target question · Ask

What is the dominant tree species and average biomass within 5 km of the Hyytiälä ICOS super-site?
  • The dominant species in the buffer, as a share of forest area
  • The mean biomass, with its unit and spread, once the Observatory serves a biomass layer for Finland
  • A map of the buffer with the species classes
  • The datasets used, with their dates, so the answer can be audited

Example request · AnalysePlanned

Produce a forest management plan report for my 95 ha stand aligned with the EU Forest Strategy 2030.
  • Stand description: species, biomass, forest structure
  • Disturbance history and climate-smart forestry indicators
  • Recommendations mapped to the EU Forest Strategy 2030
  • Maps, charts, methodology and data provenance

What it reads

The ForestWard Observatory, dataset by dataset.

ForestMind reads only what the Observatory publishes. Coverage differs by dataset: some layers cover all of Europe, others one country or one site. The agent says when a question falls outside what is covered.

  • 01

    Tree species

    Species maps across Europe.

  • 02

    Biomass and forest structure

    Biomass, height, stem volume and other forest attribute maps for Sweden (national forest attribute maps), plus stand age and site index for pine and spruce.

  • 03

    Disturbance

    Where and when forests were disturbed.

  • 04

    Field inventory plots

    Measured field plots and individual trees.

  • 05

    Carbon uptake (GPP)

    Monthly gross primary production for the Krycklan catchment, 2001–2020.

  • 06

    LPJ-GUESS projections

    Modelled forest development from 2024 to 2100, on a 50 km grid.

Built on experience

Experience in nature monitoring, applied to forest data.

Since 2016, 3Bee has worked with satellite data, IoT sensors and citizen-science records for nature monitoring. ForestMind builds on that experience and applies it to the Observatory's forest data.

Illustration of a satellite above farmland, three field sensors on poles, and icons of a plant, a bird, a leaf, a flower and a ladybird for citizen-science records.
Satellite data · IoT sensors · citizen-science recordsIllustration

How it is built

Six rules the agent works by.

  • 01

    Every number has a source

    Figures come from the data through tools, never from the model's memory, and each answer names its datasets.

  • 02

    No silent errors

    If data is missing or out of date, the agent is built to say so and give a partial answer with the caveat, rather than a number it cannot back.

  • 03

    AI-generated, and labelled so

    Users are told that answers are AI-generated and shown the sources behind them.

  • 04

    EU-hosted AI inference

    The language model runs on an EU-hosted service under a data processing agreement.

  • 05

    Read-only on the Observatory

    ForestMind reads the Observatory through its published APIs and data files, read-only. It changes nothing there and needs nothing installed on it.

  • 06

    Open source

    Planned for release under Apache 2.0 on GitHub, with the derived datasets on Zenodo (DOIs, CC BY or CC0), by the end of the project.

Availability

When can I use it?

The public interface is expected in spring 2027, by May 2027 at the end of the project, together with the open-source release. Until then ForestMind is in development and testing.

  1. Now

    In development and testing

    The agent is built and tested on the Observatory's data.
  2. Spring 2027

    Public release

    The web interface, the open-source code and the documentation, by May 2027.

The project

An EU-funded FORWARDS project, delivered by 3Bee.

Programme
FORWARDSHorizon Europe, grant agreement 101084481
Third-party grant
G-01-2026-1awarded by the European Forest Institute (EFI)
Duration
10 months20 July 2026 to 19 May 2027
Beneficiary
3Bee S.r.l.the company behind XNatura, Trezzo sull'Adda (Milan), Italy
European Union emblem

Funding

Funded by the European Union

ForestMind (grant G-01-2026-1) is supported by the European Union through FORWARDS (Horizon Europe Project No. 101084481), in grants to third parties managed by the European Forest Institute.

FORWARDSHorizon Europe GA 101084481EFI grant G-01-2026-1

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 the European Research Executive Agency (REA). Neither the European Union nor the granting authority can be held responsible for them.

Part ofFORWARDS

ForestMind · FORWARDS

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