ERA-Chair: Striving for excellence in forest ecosystem research

Project Information

EXCELLENTIA

Grant agreement ID: 101087262

DOI

10.3030/101087262

EC signature date 31 March 2023

Start date 1 May 2023

End date 30 April 2028

Funded under

• Widening participation and spreading excellence

Total cost

€ 2 499 530,00

EU contribution

€ 2 499 530,00

Coordinated by

MENDELOVA UNIVERZITA V BRNE
Czechia

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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.

Publications

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

Author(s): Pavel Baykalov, Bart Bussmann, Richard Nair, Abraham George Smith, Gernot Bodner, Ofer Hadar, Naftali Lazarovitch, Boris Rewald
Published in: Plant Methods, Issue 19, 2023, ISSN 1746-4811
Publisher: Springer Science and Business Media LLC
DOI: 10.1186/s13007-023-01101-2