A glimpse into the Arctic future: equipping a unique natural experiment for next-generation ecosystem research

Livrables

Eco-algorithm for machine-learning assessment of complex ecosystem interactions

Eco-algorithm for machine-learning assessment of complex ecosystem interactions: Time series prediction learning algorithms using neuromorphic computing hardware that can derive new insights from the wide variety of sensors developed and presented, including publications.

Supervisory Board of the network

EB, SB and EAC established. Formal installation of governance structures finished.

Network-wide training events

The organisation of all NWTE

Publications on key new findings in arctic ecosystem functioning by all WP1 ESRs

Scientific journal publications on key new findings in arctic ecosystem functioning by all WP1 ESRs The WP1 ESRs publish key findings of their InP in relevant earth sciences and multidisciplinary journals

Publications on the societal and scientific impact of big data applications in environmental science

Publications on the societal and scientific impact of big data applications in environmental science ESR15 publishes findings of social and science context analysis in relevant scientific journals

Overarching publication of value of AI for analyzing small-scale ecosystem interactions

Overarching publication of value of AI for analyzing smallscale ecosystem interactions Coordinated by ESR13 a paper by the whole network is finished on key discoveries made by AI application in ForHot site

Progress report

Progress Report

Recruitment report

All ESRs have been recruited and a report with names of all ESRs is published.

Final report on public stakeholder activities

Final report on public stakeholder activities Overview report of all outreach activities

FutureArctic project movie online

At the end of FutureArctic a 20minute project movie is produced led by mediaservices of UAntwerpen During the project filming will occur during scientific work and training

SH factsheets online and regularly updated

SH factsheets online and regularly updated: We will publish dedicated interactive factsheets for four stakeholder groups on the website, and regularly update them.

Data Management Plan

All actions necessary related to participation of FutureArctic in the ORDP.

Publications

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series

Auteurs: Bart Bussmann; Jannes Nys; Steven Latre
Publié dans: Discovery Science : 24th International Conference, DS 2021, Halifax, Canada, October 11–13, 2021: proceedings, 2021
Éditeur: Springer
DOI: 10.1007/978-3-030-88942-5_35

Biomass estimations of perennial ryegrass using UAV-based multispectral bands and vegetation indices

Auteurs: Pranga, J., Borra Serrano, I., De Swaef, T., Aper, J., Ghesquiere, A., Roldán-Ruiz, I., Janssens, I., Ruysschaert, G. & Lootens, P.
Publié dans: 2021
Éditeur: International Society of Precision Agriculture

InfiniteEn: A Multi-Source Energy Harvesting System with Load Monitoring Module for Batteryless Internet of Things

Auteurs: P. Pappinisseri Puluckul, M. Weyn
Publié dans: IEEE 9th World Forum on Internet of Things, Aveiro, Portugal, 12-27 October 2023, 2023
Éditeur: IEEE 9th World Forum on Internet of Things

Predicting herbage yield in perennial ryegrass breeding trials using UAV derived data and machine learning

Auteurs: Pranga, J., Borra Serrano, I., Aper, J., Ghesquiere, A., Roldán-Ruiz, I., Janssens, I., Ruysschaert, G. & Lootens, P.
Publié dans: 21st Symposium of the European Grassland Federation, 2021
Éditeur: Grassland Science in Europe

Neural Additive Vector Autoregression Models for Causal Discovery in Time Series Data

Auteurs: Bussmann, Bart; Nys, Jannes; Latré, Steven
Publié dans: Numéro 1, 2020
Éditeur: arXiv

Microbial growth under drought is confined to distinct taxa and modified by potential future climate conditions

Auteurs: Metze D, Schnecker J, Canarini A, Fuchslueger L, Koch BJ, Stone BWG, Hausmann B, Schmidt H, Schaumberger A, Bahn M, Kaiser C, Richter A
Publié dans: Nature Communications, 2023, ISSN 2041-1723
Éditeur: Nature Publishing Group
DOI: 10.1038/s41467-023-41524-y

Soil warming duration and magnitude affect the dynamics of fine roots and rhizomes and associated C and N pools in subarctic grasslands

Auteurs: Biplabi Bhattarai, Bjarni D Sigurdsson, Páll Sigurdsson, Niki Leblans, Ivan Janssens, Wendelien Meynzer, Arun Kumar Devarajan, Jaak Truu, Marika Truu, Ivika Ostonen
Publié dans: Annals of Botany, 2023, ISSN 0305-7364
Éditeur: Oxford University Press
DOI: 10.1093/aob/mcad102

Individual and interactive effects of warming and nitrogen supply on CO2 fluxes and carbon allocation in subarctic grassland

Auteurs: Kathiravan Meeran, Niel Verbrigghe, Johannes Ingrisch, Lucia Fuchslueger, Lena Müller, Páll Sigurðsson, Bjarni D. Sigurdsson, Herbert Wachter, Margarete Watzka, Jennifer L. Soong, Sara Vicca, Ivan A. Janssens, Michael Bahn
Publié dans: Global Change Biology, 2023, ISSN 1354-1013
Éditeur: Blackwell Publishing Inc.
DOI: 10.1111/gcb.16851

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

Auteurs: Pavel Baykalov; Bart Bussmann; Richard Nair; Abraham George Smith; Gernot Bodner; Ofer Hadar; Naftali Lazarovitch; Boris Rewald
Publié dans: Baykalov , P , Bussmann , B , Nair , R , Smith , A G , Bodner , G , Hadar , O , Lazarovitch , N & Rewald , B 2023 , ' Semantic segmentation of plant roots from RGB (mini-) rhizotron images—generalisation potential and false positives of established methods and advanced deep-learning models ' , Plant Methods , vol. 19 , no. 1 , 122 . https://doi.org/10.1186/s13007-023-01101-2, Numéro 2, 2023, ISSN 1746-4811
Éditeur: BioMed Central
DOI: 10.1186/s13007-023-01101-2

Battery-Less Environment Sensor Using Thermoelectric Energy Harvesting from Soil-Ambient Air Temperature Differences

Auteurs: Maarten Weyn; Priyesh Pappinisseri Puluckul
Publié dans: Sensors, 2022, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s22134737

Energy Consumption Analysis of LPWAN Technologies and Lifetime Estimation for IoT Application

Auteurs: Ritesh Kumar Singh, Priyesh Pappinisseri Puluckul, Rafael Berkvens, Maarten Weyn
Publié dans: Sensors, Numéro 20/17, 2020, Page(s) 4794, ISSN 1424-8220
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s20174794

Improving Accuracy of Herbage Yield Predictions in Perennial Ryegrass with UAV-Based Structural and Spectral Data Fusion and Machine Learning

Auteurs: Joanna Pranga; Irene Borra-Serrano; Jonas Aper; Tom De Swaef; An Ghesquiere; Paul Quataert; Isabel Roldán-Ruiz; Ivan A. Janssens; Greet Ruysschaert; Peter Lootens
Publié dans: Remote Sensing, 2021, ISSN 2072-4292
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/rs13173459

TEGBed: A thermal energy harvesting testbed for batteryless internet of things

Auteurs: Priyesh Pappinisseri Puluckul, Ritesh Kumar Singh, Maarten Weyn
Publié dans: Internet of Things, 2024, ISSN 2542-6605
Éditeur: Elsevier
DOI: 10.1016/j.iot.2024.101060

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