Sensors and daTA tRaininG towards high-performance Agri-food sysTEms

Informazioni relative al progetto

STARGATE

ID dell’accordo di sovvenzione: 952330

DOI 10.3030/952330

Progetto chiuso

Data della firma CE 30 Giugno 2020

Data di avvio 1 Gennaio 2021

Data di completamento 30 Giugno 2024

Finanziato da

• Twinning of research institutions

Costo totale € 899 221,25

Contributo UE € 899 221,25

Coordinato da

UNIVERSIDADE CATOLICA PORTUGUESA
Portugal

Risultati finali

Websites, patent fillings, videos etc. (2)

Joint papers published/submitted to Q1 journals

Joint papers published/submitted to Q1 journals. Report on the papers submitted by the partners.

Webpage with information on expertise & available technologies

Webpage with information on expertise & available technologies.

Documents, reports (11)

Project Quality Handbook

First version of the Project Quality Handbook updated regularly at every General Assembly meeting

Application to fund future training

Application to fund future training programmes.

Evolution of the publications in high impact journals in relevant research fields

Evolution of the publications in high impact journals in the relevant research fields

Training provided to ESRs from UCP and partners

Report summarising training provided to ESRs from UCP and partners.

Guidelines and best practices for adoption of sensors and phenotyping

Document on Guidelines and best practices for adoption of sensors and phenotyping

White paper on the use of sensing across the food system

White paper on the use of sensing across the food system.

STARGATE workshops and training schools

Report on STARGATE workshops and training schools executed submitted. This will include a report on the Mobility actions.

Plan for STARGATE training course

Plan for STARGATE training course described in a full report.

Communication plan, toolkit and STARGATE website

Communication plan toolkit and STARGATE website

Dissemination Plan and Stakeholder Engagement

Stakeholder Engagement Plan including a map of stakeholders

Integration in PhD programmes

Report on activities for the evaluation for the integration between PhD programmes of the partners.

Open Research Data Pilot (1)

Open Data Strategy

Plan detailing strategy for open data and for implementation of the ODRP in STARGATE

Demonstrators, pilots, prototypes (2)

Open dataset

Open dataset.

Installation and deployment of an information system

Report on the Installation and deployment of an information system for use at CBQF.

Pubblicazioni

Peer reviewed articles (11)

High-throughput plant phenotyping: a role for metabolomics?

Autori: Robert D.Hall, John C.D’Auria, Antonio C.Silva Ferreira, YvesGibon, Dariusz Kruszka, PuneetMishra, Rickvan de Zedde
Pubblicato in: Trends in Plants Science, 2022, ISSN 1360-1385
Editore: Elsevier BV
DOI: 10.1016/j.tplants.2022.02.001

PhenoTrack3D: an automatic high-throughput phenotyping pipeline to track maize organs over time

Autori: Benoit Daviet, Romain Fernandez, Llorenç Cabrera-Bosquet, Christophe Pradal, Christian Fournier
Pubblicato in: Plant Methods, Numero 18, 2022, ISSN 1746-4811
Editore: BioMed Central
DOI: 10.1186/s13007-022-00961-4

Implementation of theoretical non-photochemical quenching (NPQ(T)) to investigate NPQ of chickpea under drought stress with High-throughput Phenotyping

Autori: Madita Lauterberg, Henning Tschiersch, Yusheng Zhao, Markus Kuhlmann, Ingo Mücke, Roberto Papa, Elena Bitocchi, Kerstin Neumann
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-63372-6

Precision phenotyping across the life cycle to validate and decipher drought-adaptive QTLs of wild emmer wheat (Triticum turgidum ssp. dicoccoides) introduced into elite wheat varieties

Autori: Madita Lauterberg, Yehoshua Saranga, Mathieu Deblieck, Christian Klukas, Tamar Krugman, Dragan Perovic, Frank Ordon, Andreas Graner, Kerstin Neumann
Pubblicato in: Frontiers in Plant Science, Numero 13, 2022, ISSN 1664-462X
Editore: Frontiers Media S. A.
DOI: 10.3389/fpls.2022.965287

Automated and non-destructive estimation of soluble solid content of tomatoes on the plant under variable light conditions

Autori: Jos Ruizendaal, Gerrit Polder, Gert Kootstra
Pubblicato in: Biosystems Engineering, Numero 242, 2024, Pagina/e 80-90, ISSN 1537-5110
Editore: Academic Press
DOI: 10.1016/j.biosystemseng.2024.04.008

Sága, a Deep Learning Spectral Analysis Tool for Fungal Detection in Grains—A Case Study to Detect Fusarium in Winter Wheat

Autori: Xinxin Wang, Gerrit Polder, Marlous Focker, Cheng Liu
Pubblicato in: Toxins, Numero 16, 2024, Pagina/e 354, ISSN 2072-6651
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/toxins16080354

Engaging Precision Phenotyping to Scrutinize Vegetative Drought Tolerance and Recovery in Chickpea Plant Genetic Resources

Autori: Madita Lauterberg, Henning Tschiersch, Roberto Papa, Elena Bitocchi, Kerstin Neumann
Pubblicato in: Plants, Numero 12, 2023, Pagina/e 2866, ISSN 2223-7747
Editore: Academic Press
DOI: 10.3390/plants12152866

QAVAN: Query-answering approach for actionable numerical relationships over Knowledge Graphs

Autori: Felipe Vargas-Rojas, Llorenç Cabrera-Bosquet, Danai Symeonidou
Pubblicato in: Knowledge-Based Systems, Numero 284, 2024, Pagina/e 111252, ISSN 0950-7051
Editore: Elsevier BV
DOI: 10.1016/j.knosys.2023.111252

Recent developments and potential of robotics in plant eco-phenotyping

Autori: Lili Yao, Rick van de Zedde, George Kowalchuk
Pubblicato in: Emerging Topics in Life Sciences, Numero 5, 2023, Pagina/e 289-300, ISSN 2397-8554
Editore: Portland Press Limited on behalf of the Biochemical Society and the Royal Society of Biology
DOI: 10.1042/etls20200275

Autoencoder-based 3D representation learning for industrial seedling abnormality detection

Autori: Hendrik A.C. de Villiers, Gerwoud Otten, Aneesh Chauhan, Lydia Meesters
Pubblicato in: Computers and Electronics in Agriculture, Numero 206, 2023, Pagina/e 107619, ISSN 0168-1699
Editore: Elsevier BV
DOI: 10.1016/j.compag.2023.107619

Ripening dynamics revisited: an automated method to track the development of asynchronous berries on time-lapse images

Autori: Benoit Daviet, Christian Fournier, Llorenç Cabrera-Bosquet, Thierry Simonneau, Maxence Cafier, Charles Romieu
Pubblicato in: Plant Methods, Numero 19, 2023, ISSN 1746-4811
Editore: BioMed Central
DOI: 10.1186/s13007-023-01125-8

Conference proceedings (1)

PhyQus: Automatic Unit Conversions for Wikidata Physical Quantities

Autori: Luis Felipe Vargas-Rojas, Axel Polleres, Llorenç Cabrera-Bosquet, Danai Symeonidou
Pubblicato in: 2023
Editore: HAL Open Science