CORDIS · FORSAID

Forest surveillance with artificial intelligence and digital technologies - FORSAID

Code: FORSAID
Programme: HORIZON
Call: HORIZON-CL6-2023-GOVERNANCE-01-16
Status: SIGNED
Period: 2024-09-01 – 2028-02-29

Total cost (whole consortium)4 991 188 €

EU contribution (whole consortium)4 991 188 €

EU contribution to Bulgarian participants286 500 €

Official data · CORDIS · synced 2026-10-17 10:16 · official record

Participants

Organisations	Role	Country	Grant
UNIVERSITA DEGLI STUDI DI PADOVA	coordinator	IT	631 250 €
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT	participant	FR	500 000 €
INSTITUTO SUPERIOR DE AGRONOMIA	participant	PT	400 750 €
KOBENHAVNS UNIVERSITET	participant	DK	400 000 €
LINNEUNIVERSITETET	participant	SE	399 375 €
TELESPAZIO FRANCE SAS	participant	FR	339 500 €
GOZDARSKI INSTITUT SLOVENIJE	participant	SI	330 875 €
KARLSRUHER INSTITUT FUER TECHNOLOGIE	participant	DE	306 438 €
MUSEUM FUR NATURKUNDE - LEIBNIZ-INSTITUT FUR EVOLUTIONS- UND BIODIVERSITATSFORSCHUNG AN DER HUMBOLDT-UNIVERSITAT ZU BERLIN	participant	DE	302 500 €
EFOS INFORMACIJSKE RESITVE DOO	participant	SI	297 750 €
PENSOFT PUBLISHERS	participant	BG	286 500 €
CONSIGLIO NAZIONALE DELLE RICERCHE	participant	IT	215 000 €
INSTITUT EUROPEEN DE LA FORET CULTIVEE	participant	FR	200 000 €
INSTITUTO NACIONAL DE INVESTIGAÇAO AGRARIA E VETERINARIA	participant	PT	199 375 €
Ukrainian National Forestry University	participant	UA	110 000 €
ORGANISATION EUROPEENNE ET MEDITERRANEENNE POUR LA PROTECTION DES PLANTES	participant	FR	71 875 €
EIDGENOSSISCHE FORSCHUNGSANSTALT WSL	associated partner	CH

Description

Forests have an important role in the achievement of the objectives of the European Green Deal. Forest trees are increasingly threatened by invasive pests, with many of them being regulated in the Union territory. FORSAID has as an overall goal to develop a comprehensive combination of innovative digital technologies aimed at detecting regulated forest pests at an early stage, surveying their occurrence in the territory, and providing essential information for the adoption of phytosanitary measures to limit their spread and impacts. The project adopts a multi-actor and multidisciplinary approach tailored to develop and favour the adoption of digital technologies at different spatial and temporal scales associated with a selected list of important regulated forest pests. The Internet of Things (IoT) will be used to create networks of insect traps for major guilds of insects, thanks to innovative deep learning analysis of images sent remotely from the traps. Robotized devices will be developed and tested for the automatic barcoding of the captured pests. Drones equipped with sensors will be used for the scanning of plant health status through the measure of physiological variables. Remote sensing techniques will be used to validate existing ground-truth data on the occurrence of tree alterations associated with abiotic and biotic factors, and models based on Artificial Intelligence (AI) and machine learning (ML) will be developed to discriminate different types of stresses as soon as they appear. An economic analysis will address the costs and benefits of using digital technologies for the detection and surveillance measures, considering the economic, environmental, and social impacts of regulated pests in EU forests. Stakeholders from the forest sector will be involved in a multi-actor approach to drive the research to applicable results and co-construct guidelines for the best use of new digital technologies for forest pest detection and monitoring.

Official data · CORDIS · synced 2026-10-17 10:16 · official record · Licence: © European Union, CC BY 4.0 (Commission reuse policy).