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Vineyard Innovative Tool based on the InteGration of Earth Observation Services and in-field Sensors

Livrables

Data Management Plan (update) M36

It will describe the data management life cycle for any data to be collected, processed and/or generated by the project. It will be used as a standard data guideline for the project consortium to ensure interoperability and sharing for public data generated by the project. 

Data Management Plan (update) M18

It will describe the data management life cycle for any data to be collected processed andor generated by the project It will be used as a standard data guideline for the project consortium to ensure interoperability and sharing for public data generated by the project

Data Management Plan - Initial report

It will describe the data management life cycle for any data to be collected processed andor generated by the project It will be used as a standard data guideline for the project consortium to ensure interoperability and sharing for public data generated by the project

Data Management Plan - Final report

It will describe the data management life cycle for any data to be collected, processed and/or generated by the project. It will be used as a standard data guideline for the project consortium to ensure interoperability and sharing for public data generated by the project. 

Deployment of the VITIGEOSS cloud-based application portal

Deployment of the operational cloudbased application portal to the endusers

Pilot Plots Implementation

Once the experimental plots are selected the trial setup is finalized and the necessary vineyard modifications are implemented a report with detailed information of the location of the vineyards and their characteristics will be made public for all the consortium This report will be use as a link with further results of the project

Executive summary

Report that highlights the relevant results of the project, translated to be more easily understood and used by decision and policy makers.

Lessons learned in VITIGEOSS for Climate Services and Earth Observations Communities

Report summarising the lessons learned in VITIGEOSS to foster the exploitation of the experience gained in the project within the climate services and the Earth Observations communities.

Validation and Evaluation report - Final Report

It will include the validation of the VITIGEOSS services and the evaluation of their performance obtained along 2nd and 3rd vegetative seasons

Communication and dissemination plan - First Report

This document will provide detailed information about the activities planned along the lifetime of the project plus KPIs for each communication and dissemination

Validation and Evaluation initial Report

It will include the validation of the VITIGEOSS services and the evaluation of their performance obtained along 2nd and 3rd vegetative seasons

Communication and dissemination plan - Final report

This document will provide detailed information about the activities planned along the lifetime of the project plus KPIs for each communication and dissemination

Demo video_second version

first issue will be a video-guide addressed to potential user explaining the set of different options that can be explored in the Portal, and a second one will be updated with testimonials of users

Demo video

video-guide addressed to potential user explaining the set of different options that can be explored in the Portal

Visual identity and project website available

Design of website logo colours and fonts templates for letters presentations reports and newsletters

Publications

Current Trends and Perspectives on Predictive Models for Mildew Diseases in Vineyards

Auteurs: Luisa Fernanda Velasquez; Marta Otero; Boris Basile; Josep Pijuan; Giandomenico Corrado
Publié dans: Microorganisms, Vol 11, Iss 1, p 73 (2022), Numéro 9, 2023, ISSN 0000-0000
Éditeur: MDPI
DOI: 10.3390/microorganisms11010073

Deep learning based models for grapevine phenology

Auteurs: Oldani, Federico; Salza, Dario; Blanco, Giacomo; Rossi, Claudio; Basile, Boris; Carteni, Fabrizio; Pérez-Zanón, Núria; Dente, Antonio; Alves, Fernando; Valente, Joana; Torres, Montse; Esquerra, Carlos; Araujo, Rosa
Publié dans: GIESCO, Numéro 8, 2023, ISSN 0000-0000
Éditeur: GIESCO
DOI: 10.5281/zenodo.8275415

Use of artificial intelligence for the prediction of microbial diseases of grapevine and optimisation of fungicide application

Auteurs: Otero, Marta; Basile, Boris; Onrubia, Jordi; Pijuan, Josep
Publié dans: GIESCO, Numéro 8, 2023, ISSN 0000-0000
Éditeur: GIESCO
DOI: 10.5281/zenodo.8275448

Subseasonal Predictions for Climate Services, a Recipe for Operational Implementation

Auteurs: Andrea Manrique-Suñén; Lluís Palma; Nube Gonzalez-Reviriego; Francisco J. Doblas-Reyes; Albert Soret
Publié dans: Climate Services, Vol 30, Iss , Pp 100359- (2023), Numéro 16, 2023, ISSN 0000-0000
Éditeur: ELSEVIER
DOI: 10.2139/ssrn.4173668

Advanced seasonal predictions for vine management based on bioclimatic indicators tailored to the wine sector

Auteurs: Chihchung Chou; Raül Marcos-Matamoros; Lluís Palma Garcia; Núria Pérez-Zanón; Marta Teixeira; Sara Silva; Natacha Fontes; Natacha Fontes; Antonio Graça; Alessandro Dell'Aquila; Sandro Calmanti; Nube González-Reviriego
Publié dans: Climate Services, Vol 30, Iss , Pp 100343- (2023), Numéro 18, 2023, ISSN 0000-0000
Éditeur: ELSEVIER
DOI: 10.1016/j.cliser.2023.100343

CSIndicators: Get tailored climate indicators for applications in your sector

Auteurs: Núria Pérez-Zanón; An-Chi Ho; Chihchung Chou; Llorenç Lledó; Raül Marcos-Matamoros; Eva Rifà; Nube González-Reviriego
Publié dans: Climate Services, Vol 30, Iss , Pp 100393- (2023), Numéro 18, 2023, ISSN 0000-0000
Éditeur: ELSEVIER
DOI: 10.1016/j.cliser.2023.100393

VITIGEOSS Business Service: Task scheduling optimization in vineyards

Auteurs: Raimon Fabregat; Alex Pujol; Josep Pijuan; Fernando Santos Alves; Antonio Dente; Montse Torres Viñals
Publié dans: GIESCO, Numéro 7, 2023, ISSN 0000-0000
Éditeur: GIESCO
DOI: 10.5281/zenodo.8275402

Co-production pathway of an end-to-end climate service for improved decision-making in the wine sector

Auteurs: Marta Terrado; Raül Marcos; Nube González-Reviriego; Ilaria Vigo; Andria Nicodemou; Antonio Graça; Marta Teixeira; Natacha Fontes; Sara Silva; Alessandro Dell'Aquila; Luigi Ponti; Sandro Calmanti; Marta Bruno Soares; Mehri Khosravi; Federico Caboni
Publié dans: Climate Services, Vol 30, Iss , Pp 100347- (2023), Numéro 17, 2022, ISSN 0000-0000
Éditeur: ELSEVIER
DOI: 10.1016/j.cliser.2023.100347

Towards more effective visualisations in climate services: good practices and recommendations

Auteurs: Marta Terrado; Luz Calvo; Isadora Christel
Publié dans: instname:Universitat Politècnica de Catalunya (UPC), Numéro 19, 2022, ISSN 0000-0000
Éditeur: ELSEVIER
DOI: 10.1007/s10584-022-03365-4

Data Driven Predictive Models Based on Artificial Intelligence to Anticipate the Presence of Plasmopara Viticola and Uncinula Necator in Southern European Winegrowing Regions

Auteurs: Marta Otero; Luisa Fernanda Velasquez; Boris Basile; Jordi Ricard Onrubia; Alex Josep Pujol; Josep Pijuan
Publié dans: Crossref, Numéro 6, 2022
Éditeur: Artificial Intelligence Research and Development
DOI: 10.3233/faia220333

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