Openfund

CORDIS · FORSAID

Forest surveillance with artificial intelligence and digital technologies - FORSAID

Код
FORSAID
Програма
HORIZON
Процедура
HORIZON-CL6-2023-GOVERNANCE-01-16
Статус
SIGNED
Период
01.09.2024 – 29.02.2028
Обща стойност (целият консорциум)4 991 188 €
Принос на ЕС (целият консорциум)4 991 188 €
Принос на ЕС за българските участници286 500 €

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис

Участници

ОрганизацииРоляДържаваБезвъзмездна помощ
UNIVERSITA DEGLI STUDI DI PADOVAкоординаторIT631 250 €
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENTучастникFR500 000 €
INSTITUTO SUPERIOR DE AGRONOMIAучастникPT400 750 €
KOBENHAVNS UNIVERSITETучастникDK400 000 €
LINNEUNIVERSITETETучастникSE399 375 €
TELESPAZIO FRANCE SASучастникFR339 500 €
GOZDARSKI INSTITUT SLOVENIJEучастникSI330 875 €
KARLSRUHER INSTITUT FUER TECHNOLOGIEучастникDE306 438 €
MUSEUM FUR NATURKUNDE - LEIBNIZ-INSTITUT FUR EVOLUTIONS- UND BIODIVERSITATSFORSCHUNG AN DER HUMBOLDT-UNIVERSITAT ZU BERLINучастникDE302 500 €
EFOS INFORMACIJSKE RESITVE DOOучастникSI297 750 €
PENSOFT PUBLISHERSучастникBG286 500 €
CONSIGLIO NAZIONALE DELLE RICERCHEучастникIT215 000 €
INSTITUT EUROPEEN DE LA FORET CULTIVEEучастникFR200 000 €
INSTITUTO NACIONAL DE INVESTIGAÇAO AGRARIA E VETERINARIAучастникPT199 375 €
Ukrainian National Forestry UniversityучастникUA110 000 €
ORGANISATION EUROPEENNE ET MEDITERRANEENNE POUR LA PROTECTION DES PLANTESучастникFR71 875 €
EIDGENOSSISCHE FORSCHUNGSANSTALT WSLасоцииран партньорCH

Описание

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.

Официални данни · CORDIS · синхронизирано 17.10.2026 10:16 · официален запис · Лиценз: © European Union, CC BY 4.0 (Commission reuse policy).