Integrating a Comprehensive European Approach for Climate Change Mitigation and Adaptation in Montenegro Viticulture

Informazioni relative al progetto

MONTEVITIS

ID dell’accordo di sovvenzione: 101059461

DOI

10.3030/101059461

Progetto chiuso

Data della firma CE 11 Novembre 2022

Data di avvio 1 Gennaio 2023

Data di completamento 31 Marzo 2026

Finanziato da

• Widening participation and spreading excellence

Costo totale

€ 1 492 620,75

Contributo UE

€ 1 492 620,75

Coordinato da

UNIVERZITET DONJA GORICA PODGORICA
Montenegro

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)

White Paper on Precision Viticulture and Digital Atlas

White Paper on precision viticulture research to optimize vineyard management and to support policy decisions on European viticulture.

Mitigation and adaptation strategies for Montenegro viticulture

Report on measures and strategies for a climate change resilient viticulture based on modelling and IoTs.

Deployment of MONTEVITIS web-based Decision Support Platform

Report on MONTEVITIS web-based Decision Support Platform.

Peer-reviewed publications of UDG

From collaborations of project partners, joint publications are planned contributing to the enhancement, both of UDG and other partners’ scientific performance.

Pubblicazioni

Peer reviewed articles (11)

Future climate will reshape inter-row grass mowing in vineyards: A modelling approach for optimized agronomic management

Autori: L. Leolini, S. Costafreda-Aumedes, M. Biddoccu, R. Rossi, G. Padovan, M. Moretta, AR. Balingit, M. Coli, L. Brilli, N. Staglianò, G. Argenti, G. Capello, E. Paravidino, S. Bussotti, C. Dibari, M. Bindi, K. Ratković, M. Simeunović, M. Moriondo
Pubblicato in: Italian Journal of Agronomy, Numero 20, 2025, ISSN 1125-4718
Editore: Elsevier BV
DOI: 10.1016/J.IJAGRO.2025.100059

Hybrid LSTM Model to Predict the Level of Air Pollution in Montenegro

Autori: Kruna Ratković, Nataša Kovač and Marko Simeunović
Pubblicato in: Applied Sciences, 2023, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app131810152

Determining the Climatic Drivers for Wine Production in the Côa Region (Portugal) Using a Machine Learning Approach

Autori: Helder Fraga; Teresa R. Freitas; Marco Moriondo; Daniel Molitor; João A. Santos
Pubblicato in: Land, 2024, ISSN 2073-445X
Editore: MDPI
DOI: 10.3390/LAND13060749

Future agroclimatic suitability for oliviculture in Portugal based on a new high-resolution climate dataset

Autori: Teresa R. Freitas; João A. Santos; António Fernandes; Christoph Menz; Paula Paredes; Helder Fraga
Pubblicato in: Mitigation and Adaptation Strategies for Global Change, Numero 30, 56 (2025), 2025, ISSN 1573-1596
Editore: Springer Nature
DOI: 10.1007/S11027-025-10247-4

Bio-Ecological Indicators for Gentiana pneumonanthe L. Climatic Suitability in the Iberian Peninsula

Autori: Teresa R. Freitas; Sílvia Martins; Joaquim Jesus; João Campos; António Fernandes; Christoph Menz; Ernestino Maravalhas; Helder Fraga; João A. Santos
Pubblicato in: Plants, Numero 14(18), 2857, 2025, ISSN 2223-7747
Editore: MDPI
DOI: 10.3390/PLANTS14182857

A Knowledge-Driven Framework for a Decision Support Platform in Sustainable Viticulture: Integrating Climate Data and Supporting Stakeholder Collaboration

Autori: Marko Simeunović, Kruna Ratković, Nataša Kovač, Tamara Racković, António Fernandes
Pubblicato in: Sustainability, Numero 17, 2025, ISSN 2071-1050
Editore: MDPI AG
DOI: 10.3390/SU17041387

Challenges to Viticulture in Montenegro under Climate Change

Autori: A. Fernandes, N. Kovač, H. Fraga, A. Fonseca, S. Šućur Radonjić, M. Simeunović, K. Ratković, C. Menz, S. Costafreda-Aumedes and J. A. Santos
Pubblicato in: International Journal of Geo-Information, Numero 13(8), 2024, ISSN 2220-9964
Editore: MDPI
DOI: 10.3390/IJGI13080270

Best- and Worst-Case Scenarios for the Douro Winemaking Region: Dynamic Crop Modelling and Ensemble Projections for Yield, Alcohol Content, and Phenology

Autori: Helder Fraga; Emanuele Serra; Nathalie Guimarães; Nazaret Crespo; António Fernandes; Christoph Menz; João A. Santos
Pubblicato in: Plants, Numero 14(16), 2466, 2025, ISSN 2223-7747
Editore: MDPI
DOI: 10.3390/PLANTS14162466

From concept to practice: Implementing a knowledge-driven decision support platform for sustainable viticulture in Montenegro

Autori: T. Racković, K. Ratković, M. Simeunović, N. Kovač, C. Menz, H. Fraga, A. Malheiro, A. Fernandes and J. Santos
Pubblicato in: Sensors, Numero 2026, 9, 2026, ISSN 1424-8220
Editore: MDPI
DOI: 10.3390/S26092843

Uncertainties in predicting the medium-term future occurrence of grapevine budburst in Europe: the role of phenological models and climate scenarios

Autori: S. Costafreda-Aumedes, L. Leolini, C. Menz, C. Yang, G. Argenti, C. Dibari, M. Bindi, H. Fraga, J. Santos, D. Molitor, J. A. Torres-Matallana, M. Simeunović and M. Moriondo
Pubblicato in: OENO One, Numero vol. 59, no. 2, 2025, ISSN 2494-1271
Editore: International Viticulture and Enology Society
DOI: 10.20870/OENO-ONE.2025.59.2.8056

Crop modelling applied to Portuguese viticulture: a brief overview

Autori: Santos Rui; Falco Virgílio; Santos João; Fernandes António; Fraga Hélder
Pubblicato in: Ciência e Técnica Vitivinícola, Numero 40(1), 2025, ISSN 2416-3953
Editore: Journal of Viticulture and Enology
DOI: 10.1051/CTV/CTV2025400139

Monographic books (1)

Student Micro-Conference in Applied Mathematics - AM Connect 2024

Autori: Marko Simeunović, Nataša Kovač, Kruna Ratković
Pubblicato in: 2025, ISBN 978-9940-676-22-3
Editore: University of Donja Gorica

Conference proceedings (1)

Model-as-a-Service for Sustainable Viticulture: A Comprehensive Science-Driven Decision Support Platform

Autori: Telmo Adão, David Pascoal, Fernando Portela, Luís Pádua, António Fernandes, André Fonseca, Teresa Freitas, Hélder Fraga, Christoph Menz, Agnieszka Chojka, Nuno Silva, João Santos, Emanuel Peres, Raul Morais
Pubblicato in: Procedia Computer Science, Numero 278, 2026, ISSN 1877-0509
Editore: Elsevier BV
DOI: 10.1016/J.PROCS.2026.02.471