ERA-Chair: Striving for excellence in forest ecosystem research

Informazioni relative al progetto

EXCELLENTIA

ID dell’accordo di sovvenzione: 101087262

DOI

10.3030/101087262

Data della firma CE 31 Marzo 2023

Data di avvio 1 Maggio 2023

Data di completamento 30 Aprile 2028

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 2 499 530,00

Contributo UE

€ 2 499 530,00

Coordinato da

MENDELOVA UNIVERZITA V BRNE
Czechia

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (4)

Report of T2.1 and T2.2 courses

The report will cover 1st edition of the Scientific and Reference Databases training for R1 and R2 researchers and 1st edition of the Academic writing seminar.

Definition of the annual research plan

The annual plan defined for FER Group by the lead scientists based on the T1.1-T1.4 and scientists focusing on the respective fields. It will contain scientific milestones, publication activities, and data sources.

Key performance indicators – 3 years before project

FFWT performance in the critical indicators during three years before the project started, covering only disciplines included in the T1.1-T1.4.

Communication, Dissemination, Outreach and Exploitation Plan

The PEDR will define a) communication and dissemination main actors; b) key messages; c) a multi-modal mix of channels; d) target groups (MENDELU Staff, MENDELU students, other stakeholders: policy/decision-makers, professionals, landowners and engaged citizens); e) criteria for self-evaluation of effectiveness.

Data Management Plan (1)

Research data management plan

Research data management plan of the EXCELLENTIA building on the information provided in the project proposal, covering data types, data sources, and foreseen repositories.

Pubblicazioni

Peer reviewed articles (1)

Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models

Autori: Pavel Baykalov, Bart Bussmann, Richard Nair, Abraham George Smith, Gernot Bodner, Ofer Hadar, Naftali Lazarovitch, Boris Rewald
Pubblicato in: Plant Methods, Numero 19, 2023, ISSN 1746-4811
Editore: Springer Science and Business Media LLC
DOI: 10.1186/s13007-023-01101-2