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description Publicationkeyboard_double_arrow_right Article , Other literature type , Review 2023 Belgium, Netherlands, Norway, France, Norway, France, France, France, France, Germany, FrancePublisher:Oxford University Press (OUP) Publicly fundedFunded by:ANR | TAD, EC | SUSTUNTECH, EC | FutureMARES +6 projectsANR| TAD ,EC| SUSTUNTECH ,EC| FutureMARES ,EC| AGENSI ,SNSF| Untersuchungen zu möglichen Auswirkungen des Anbaus von transgenen Bacillus thuringiensis (Bt) Maissorten im Feld auf Bodenökosysteme. ,SNSF| Molecular evolution and ecology of Foraminifera and related protists ,EC| ANERIS ,EC| AtlantECO ,EC| MISSION ATLANTICRubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Destro Barcellos, Diogo; Devos, Paul; Fernandes-Salvador, Jose; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; van den Bulcke, Laure; van Helmond, Aloysius T.M.; Watson, Jordan; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier; Whidden, Christopher;Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine learning is needed in marine ecology. Then we provide a quick primer on machine learning techniques and vocabulary. We built a database of ∼1000 publications that implement such techniques to analyse marine ecology data. For various data types (images, optical spectra, acoustics, omics, geolocations, biogeochemical profiles, and satellite imagery), we present a historical perspective on applications that proved influential, can serve as templates for new work, or represent the diversity of approaches. Then, we illustrate how machine learning can be used to better understand ecological systems, by combining various sources of marine data. Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, the dominance of machine learning for classification-type problems, and a shift towards deep learning for all data types. This overview is meant to guide researchers who wish to apply machine learning methods to their marine datasets. Machine learning in marine ecology: an overview of techniques and applications
OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:Firenze University Press Publicly fundedDomenico Dentoni; Carlo Cucchi; Marija Roglic; Rob Lubberink; Rahmin Bender-Salazar; Timothy Manyise;doi: 10.36253/bae-13930
Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
NARCIS; Research@WUR arrow_drop_down NARCIS; Bio-based and Applied EconomicsArticle . 2022Research@WUR; Bio-based and Applied EconomicsOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la CommunicationArticle . 2023Full-Text: https://hal.science/hal-04002011/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Bio-based and Applied EconomicsArticle . 2022Research@WUR; Bio-based and Applied EconomicsOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la CommunicationArticle . 2023Full-Text: https://hal.science/hal-04002011/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36253/bae-13930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2023 Ireland, FrancePublisher:European Society for Engineering Education (SEFI) Publicly fundedAuthors: Kooli-Chaabane, Hanen; Lanthony, Antoine; Peyret, Nicolas;Kooli-Chaabane, Hanen; Lanthony, Antoine; Peyret, Nicolas;doi: 10.21427/qtjx-aj72
International audience; This paper aims to enrich the state of the art on engineering and management learning and education by shedding light on the barriers encountered during the COVID-19 crisis due to the imposed digital transformation. Our research question is: what were the barriers encountered in remote and hybrid learning during pandemic experiences and what lessons can be drawn for higher education in the context of Problem-Based Learning (PBL)? This paper aims to enrich the debate on how digitalization impacted the learning and teaching experience in teaching modules traditionally achieved face-to-face.
Arrow@TU Dublin arrow_drop_down HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Arrow@TU Dublin arrow_drop_down HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21427/qtjx-aj72&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, FrancePublisher:MDPI AG Peter Langridge; Michael Alaux; Nuno Felipe Almeida; Karim Ammar; Michael Baum; Faouzi Bekkaoui; Alison R. Bentley; Brian L. Beres; Bettina Berger; Hans-Joachim Braun; Gina Brown-Guedira; Christopher James Burt; Mario Jose Caccamo; Luigi Cattivelli; Gilles Charmet; Peter Civáň; Sylvie Cloutier; Jean-Pierre Cohan; Pierre J. Devaux; Fiona M. Doohan; M. Fernanda Dreccer; Moha Ferrahi; Silvia E. Germán; Stephen B. Goodwin; Simon Griffiths; Carlos Guzmán; Hirokazu Handa; Malcolm John Hawkesford; Zhonghu He; Eric Huttner; Tatsuya M. Ikeda; Benjamin Kilian; Ian Philip King; Julie King; John A. Kirkegaard; Jacob Lage; Jacques Le Gouis; Suchismita Mondal; Ewen Mullins; Frank Ordon; Jose Ivan Ortiz-Monasterio; Hakan Özkan; İrfan Öztürk; Silvia A. Pereyra; Curtis J. Pozniak; Hadi Quesneville; Martín C. Quincke; Greg John Rebetzke; Jochen Christoph Reif; Teresa Saavedra-Bravo; Ulrich Schurr; Shivali Sharma; Sanjay Kumar Singh; Ravi P. Singh; John W. Snape; Wuletaw Tadesse; Hisashi Tsujimoto; Roberto Tuberosa; Tim G. Willis; Xueyong Zhang;International audience; Wheat occupies a special role in global food security since, in addition to providing 20% of our carbohydrates and protein, almost 25% of the global production is traded internationally. The importance of wheat for food security was recognised by the Chief Agricultural Scientists of the G20 group of countries when they endorsed the establishment of the Wheat Initiative in 2011. The Wheat Initiative was tasked with supporting the wheat research community by facilitating collaboration, information and resource sharing and helping to build the capacity to address challenges facing production in an increasingly variable environment. Many countries invest in wheat research. Innovations in wheat breeding and agronomy have delivered enormous gains over the past few decades, with the average global yield increasing from just over 1 tonne per hectare in the early 1960s to around 3.5 tonnes in the past decade. These gains are threatened by climate change, the rapidly rising financial and environmental costs of fertilizer, and pesticides, combined with declines in water availability for irrigation in many regions. The international wheat research community has worked to identify major opportunities to help ensure that global wheat production can meet demand. The outcomes of these discussions are presented in this paper.
Agronomy; Rothamsted... arrow_drop_down Agronomy; Rothamsted RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYHAL Clermont Université; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03942478/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/agronomy12112767&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Agronomy; Rothamsted... arrow_drop_down Agronomy; Rothamsted RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYHAL Clermont Université; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03942478/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/agronomy12112767&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 France, Italy, Italy, Croatia, Spain, Malta, Italy, CroatiaPublisher:Copernicus GmbH Publicly fundedFunded by:EC | EuroSea, EC | JERICO-S3, EC | SeaDataCloud +2 projectsEC| EuroSea ,EC| JERICO-S3 ,EC| SeaDataCloud ,EC| COCONET ,EC| JERICO-NEXTE. Reyes; E. Aguiar; M. Bendoni; M. Berta; C. Brandini; C. Brandini; A. Cáceres-Euse; F. Capodici; V. Cardin; D. Cianelli; D. Cianelli; G. Ciraolo; L. Corgnati; V. Dadić; B. Doronzo; B. Doronzo; A. Drago; D. Dumas; P. Falco; P. Falco; M. Fattorini; M. Fattorini; M. J. Fernandes; A. Gauci; R. Gómez; A. Griffa; C.-A. Guérin; I. Hernández-Carrasco; J. Hernández-Lasheras; M. Ličer; M. Ličer; P. Lorente; P. Lorente; M. G. Magaldi; C. Mantovani; H. Mihanović; A. Molcard; B. Mourre; A. Révelard; C. Reyes-Suárez; S. Saviano; S. Saviano; R. Sciascia; S. Taddei; J. Tintoré; J. Tintoré; Y. Toledo; M. Uttieri; M. Uttieri; I. Vilibić; I. Vilibić; E. Zambianchi; E. Zambianchi; A. Orfila;handle: 11367/106456 , 10261/284520
The Mediterranean Sea is a prominent climate-change hot spot, with many socioeconomically vital coastal areas being the most vulnerable targets for maritime safety, diverse met-ocean hazards and marine pollution. Providing an unprecedented spatial and temporal resolution at wide coastal areas, high-frequency radars (HFRs) have been steadily gaining recognition as an effective land-based remote sensing technology for continuous monitoring of the surface circulation, increasingly waves and occasionally winds. HFR measurements have boosted the thorough scientific knowledge of coastal processes, also fostering a broad range of applications, which has promoted their integration in coastal ocean observing systems worldwide, with more than half of the European sites located in the Mediterranean coastal areas. In this work, we present a review of existing HFR data multidisciplinary science-based applications in the Mediterranean Sea, primarily focused on meeting end-user and science-driven requirements, addressing regional challenges in three main topics: (i) maritime safety, (ii) extreme hazards and (iii) environmental transport process. Additionally, the HFR observing and monitoring regional capabilities in the Mediterranean coastal areas required to underpin the underlying science and the further development of applications are also analyzed. The outcome of this assessment has allowed us to provide a set of recommendations for future improvement prospects to maximize the contribution to extending science-based HFR products into societally relevant downstream services to support blue growth in the Mediterranean coastal areas, helping to meet the UN's Decade of Ocean Science for Sustainable Development and the EU's Green Deal goals. Publication fees are provided by EuroSea (EU Horizon 2020 research and innovation program, grant agreement ID no. 862626) and JERICO-S3 (EU Horizon 2020 research and innovation program, grant agreement ID no. 871153). Research was supported by the following projects: CMEMS-INSTAC phase II, which provides the context of the activities for HFR data harmonization, standardization and distribution; the IBISAR CMEMS User-Uptake project (67-UU-DO-CMEMS-DEM4_LOT7); MEDCLIC project (LCF/PR/PR14/11090002, supported by La Caixa Foundation) that contributed to the development of the WMOP model; the CARTHE III project (Prime Award no. SA 18-14, subcontract agreement SPC-000649) and CALYPSO Departmental Research Initiative (grant no. N00014-18-1-2782), which supported the development of the methodology for extreme event monitoring in the Ligurian Sea (Sect. 2.2.1); the IMPACT project (EU funded, PC Interreg VA IFM 2014–2020, Prot. ISMAR no. 0002269) that funded the HFR network in the Ligurian Sea; the JERICO-NEXT project (EU Horizon 2020, grant agreement no. 654410) under which the assimilation of HFR data in WMOP (Sect. 2.1.2) and the biological connectivity application in the Gulf of Manfredonia (Sect. 2.3.3) have been developed; the COCONET project (EU FP7, grant agreement no. 287844) and the Italian national projects SSDPESCA and RITMARE; and the SICOMAR-PLUS EU Interreg Marittimo project, which funded the recent upgrades to the HFR installations of the MIO in Toulon.
Full-text Institutio... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Ocean ScienceArticle . 2022Croatian Scientific Bibliography - CROSBIOther literature type . 2022Data sources: Croatian Scientific Bibliography - CROSBIMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 94visibility views 94 download downloads 76 Powered bymore_vert Full-text Institutio... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Ocean ScienceArticle . 2022Croatian Scientific Bibliography - CROSBIOther literature type . 2022Data sources: Croatian Scientific Bibliography - CROSBIMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/os-18-797-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 IrelandPublisher:Elsevier BV Publicly fundedMcSweeney, Diarmuid; Delaby, Luc; O'Brien, Bernadette; Ferard, Alexis; Byrne, Nicky; McDonagh, Justin; Ivanov, Stepan; Coughlan, Neil E.;International audience; The strategic allocation of pasture grazing area to dairy cows is essential for optimal management and increased outputs. Rising plate meters are frequently used to estimate pasture herbage mass, i.e. dry matter yield per hectare, by employing simple regression equations that relate compressed sward height to herbage mass. However, to improve the accuracy and precision of these equations, so that inherent variation of grasslands is captured, there is a need to incorporate differences in grass types and seasonal growth. Using a total of 308 grass plots, the variation of growth for both perennial ryegrass and hybrid ryegrass was recorded over the seven-month growing season, i.e. March-September. From these data three dynamic equations were derived. The models showed reduced levels of error in comparison to most other conventional equations. As such, the derived models represent a considerable advance for predictive assessment of herbage mass and will support more efficient grassland utilisation by farmers. Although all equations were found to be highly accurate and precise, only a single equation was considered the most effective (R 2 = 0.7; RMSE = 248.05), allowing herbage mass to be predicted reliably from compressed sward height data in relation to ryegrass type and calendar month. Although further research will be required, the results presented allow farm operators to calculate herbage mass, as well as support the development of decision support tools to improve on-farm grassland management, particularly at the local paddock rather than national level.
T-Stór arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03628017/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert T-Stór arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03628017/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2022.106919&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:Frontiers Media SA Publicly fundedLuciano Di Mele; Carmen Moret-Tatay; Carmen Moret-Tatay; Mike Murphy; Céline Borg; Raúl Espert-Tortajada; Camila R. De Oliveira;The world we live in is drastically different from previous decades in terms of digitalization expansion. Logically, one might expect that these changes modify the way we behave, our habits, the way we do tasks, communicate and access information (Moret-Tatay et al., 2018; Wang et al., 2021). And, therefore, the functioning of the brain and even its anatomy. If so, it seems imperative to examine how it affects our cognition. Furthermore, based on the assumption that the brain is plastic and adaptable, some alterations and changes are expected to optimize resources or even compensations by improving other skills (Oliveira et al., 2018; Bubbico et al., 2020; Della Gatta et al., 2021).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fpsyg.2022.808275&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 IrelandPublisher:Elsevier BV Publicly fundedFunded by:SFI | VistaMilk Centre, SFI | INSIGHT_Phase 2SFI| VistaMilk Centre ,SFI| INSIGHT_Phase 2Riaboff, L.; Shalloo, L.; Smeaton, A.F.; Couvreur, S.; Madouasse, A.; Keane, M.T.;International audience; Precision Technologies are emerging in the context of livestock farming to improve management practices and the health and welfare of livestock through monitoring individual animal behaviour. Continuously collecting information about livestock behaviour is a promising way to address several of these target areas. Wearable accelerometer sensors are currently the most promising system to capture livestock behaviour. Accelerometer data should be analysed properly to obtain reliable information on livestock behaviour. Many studies are emerging on this subject, but none to date has highlighted which techniques to recommend or avoid. In this paper, we systematically review the literature on the prediction of livestock behaviour from raw accelerometer data, with a specific focus on livestock ruminants. Our review is based on 66 surveyed articles, providing reliable evidence of a 3-step methodology common to all studies, namely (1) Data Collection, (2) Data Pre-Processing and (3) Model Development, with different techniques used at each of the 3 steps. The aim of this review is thus to (i) summarise the predictive performance of models and point out the main limitations of the 3-step methodology, (ii) make recommendations on a methodological blueprint for future studies and (iii) propose lines to explore in order to address the limitations outlined. This review shows that the 3-step methodology ensures that several major ruminant behaviours can be reliably predicted, such as grazing/eating, ruminating, moving, lying or standing. However, the areas faces two main limitations: (i) Most models are less accurate on rarely observed or transitional behaviours, behaviours may be important for assessing health, welfare and environmental issues and (ii) many models exhibit poor generalisation, that can compromise their commercial use. To overcome these limitations we recommend maximising variability in the data collected, selecting pre-processing methods that are appropriate to target behaviours being studied, and using classifiers that avoid over-fitting to improve generalisability. This review presents the current situation involving the use of sensors as valuable tools in the field of behaviour recording and contributes to the improvement of existing tools for automatically monitoring ruminant behaviour in order to address some of the issues faced by livestock farming.
Computers and Electr... arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2021.106610&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 62 citations 62 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Computers and Electr... arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2021.106610&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Italy, France, SwedenPublisher:Canadian Science Publishing Publicly fundedAuthors: Torresan, Chiara; Benito-Garzón, Marta; O’Grady, Michael; Robson, Thomas Matthew; +9 AuthorsTorresan, Chiara; Benito-Garzón, Marta; O’Grady, Michael; Robson, Thomas Matthew; Picchi, Gianni; Panzacchi, Pietro; Tomelleri, Enrico; Smith, Melanie; Marshall, John; Wingate, Lisa; Tognetti, Roberto; Rustad, Lindsey,; Kneeshaw, Dan;International audience; Climate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest management aimed at enhancing the potential of forests to adapt to and mitigate climate change. It relies on much higher data requirements than traditional forestry. These data requirements can be met by new devices that support continuous, in situ monitoring of forest conditions in real time. We propose a comprehensive network of sensors, i.e., a wireless sensor network (WSN), that can be part of a worldwide network of interconnected uniquely addressable objects, an Internet of Things (IoT), which can make data available in near real time to multiple stakeholders, including scientists, foresters, and forest managers, and may partially motivate citizens to participate in big data collection. The use of in situ sources of monitoring data as ground-truthed training data for remotely sensed data can boost forest monitoring by increasing the spatial and temporal scales of the monitoring, leading to a better understanding of forest processes and potential threats. Here, some of the key developments and applications of these sensors are outlined, together with guidelines for data management. Examples are given of their deployment to detect early warning signals (EWS) of ecosystem regime shifts in terms of forest productivity, health, and biodiversity. Analysis of the strategic use of these tools highlights the opportunities for engaging citizens and forest managers in this new generation of forest monitoring.
Epsilon Open Archive arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2021License: CC BYFull-Text: https://hal.inrae.fr/hal-03511683/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2020-0295&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Epsilon Open Archive arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2021License: CC BYFull-Text: https://hal.inrae.fr/hal-03511683/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2020-0295&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Netherlands, Ireland, Denmark, FrancePublisher:Frontiers Media SA Publicly fundedFunded by:EC | REFLOWEC| REFLOWYihuai Hu; Olha Khomenko; Olha Khomenko; Wenxuan Shi; Wenxuan Shi; Ángel Velasco-Sánchez; Ángel Velasco-Sánchez; S. M. Ashekuzzaman; Nadia Bennegadi-Laurent; Karen Daly; Owen Fenton; Mark G. Healy; J. J. Leahy; Peter Sørensen; Sven G. Sommer; Arezoo Taghizadeh-Toosi; Isabelle Trinsoutrot-Gattin;International audience; Worldwide dairy processing plants produce high volumes of dairy processing sludge (DPS), which can be converted into secondary derivatives such as struvite, biochar and ash (collectively termed STRUBIAS). All of these products have high fertilizer equivalent values (FEV), but future certification as phosphorus (P)-fertilizers in the European Union will mean they need to adhere to new technical regulations for fertilizing materials i.e., content limits pertaining to heavy metals (Cd, Cu, Hg, Ni, Pb, and Zn), synthetic organic compounds and pathogens. This systematic review presents the current state of knowledge about these bio-based fertilizers and identifies knowledge gaps. In addition, a review and calculation of greenhouse gas emissions from a range of concept dairy sludge management and production systems for STRUBIAS products [i.e., biochar from pyrolysis and hydrochar from hydrothermal carbonization (HTC)] is presented. Results from the initial review showed that DPS composition depends on product type and treatment processes at a given processing plant, which leads to varied nutrient, heavy metal and carbon contents. These products are all typically high in nutrients and carbon, but low in heavy metals. Further work needs to concentrate on examining their pathogenic microorganism and emerging contaminant contents, in addition to conducting an economic assessment of production and end-user costs related to chemical fertilizer equivalents. With respect to STRUBIAS products, contaminants not present in the raw DPS may need further treatment before being land applied in agriculture e.g., heated producing ashes, hydrochar, or biochar. An examination of these products from an environmental perspective shows that their water quality footprint could be minimized using application rates based on P incorporation of these products into nutrient management planning and application by incorporation into the soil. Results from the concept system showed that elimination of methane emissions was possible, along with a reduction in nitrous oxide. Less carbon (C) is transferred to agricultural fields where DPS is processed into biochar and hydrochar, but due to high recalcitrance, the C in this form is retained much longer in the soil, and therefore STRUBIAS products represent a more stable and long-term option to increase soil C stocks and sequestration.
NARCIS; Research@WUR arrow_drop_down Frontiers in Sustainable Food Systems; Research@WUR; ZENODOOther literature type . Article . 2021 . Peer-reviewedLicense: CC BYAccess to Research at National University of Ireland, GalwayArticle . 2021 . Peer-reviewedMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03427199/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fsufs.2021.763020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 14visibility views 14 download downloads 19 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down Frontiers in Sustainable Food Systems; Research@WUR; ZENODOOther literature type . Article . 2021 . Peer-reviewedLicense: CC BYAccess to Research at National University of Ireland, GalwayArticle . 2021 . Peer-reviewedMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03427199/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fsufs.2021.763020&type=result"></script>'); --> </script>
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description Publicationkeyboard_double_arrow_right Article , Other literature type , Review 2023 Belgium, Netherlands, Norway, France, Norway, France, France, France, France, Germany, FrancePublisher:Oxford University Press (OUP) Publicly fundedFunded by:ANR | TAD, EC | SUSTUNTECH, EC | FutureMARES +6 projectsANR| TAD ,EC| SUSTUNTECH ,EC| FutureMARES ,EC| AGENSI ,SNSF| Untersuchungen zu möglichen Auswirkungen des Anbaus von transgenen Bacillus thuringiensis (Bt) Maissorten im Feld auf Bodenökosysteme. ,SNSF| Molecular evolution and ecology of Foraminifera and related protists ,EC| ANERIS ,EC| AtlantECO ,EC| MISSION ATLANTICRubbens, Peter; Brodie, Stephanie; Cordier, Tristan; Destro Barcellos, Diogo; Devos, Paul; Fernandes-Salvador, Jose; Fincham, Jennifer; Gomes, Alessandra; Handegard, Nils Olav; Howell, Kerry; Jamet, Cédric; Kartveit, Kyrre Heldal; Moustahfid, Hassan; Parcerisas, Clea; Politikos, Dimitris; Sauzède, Raphaëlle; Sokolova, Maria; Uusitalo, Laura; van den Bulcke, Laure; van Helmond, Aloysius T.M.; Watson, Jordan; Welch, Heather; Beltran-Perez, Oscar; Chaffron, Samuel; Greenberg, David; Kühn, Bernhard; Kiko, Rainer; Lo, Madiop; Lopes, Rubens; Möller, Klas Ove; Michaels, William; Pala, Ahmet; Romagnan, Jean-Baptiste; Schuchert, Pia; Seydi, Vahid; Villasante, Sebastian; Malde, Ketil; Irisson, Jean-Olivier; Whidden, Christopher;Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine learning is needed in marine ecology. Then we provide a quick primer on machine learning techniques and vocabulary. We built a database of ∼1000 publications that implement such techniques to analyse marine ecology data. For various data types (images, optical spectra, acoustics, omics, geolocations, biogeochemical profiles, and satellite imagery), we present a historical perspective on applications that proved influential, can serve as templates for new work, or represent the diversity of approaches. Then, we illustrate how machine learning can be used to better understand ecological systems, by combining various sources of marine data. Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, the dominance of machine learning for classification-type problems, and a shift towards deep learning for all data types. This overview is meant to guide researchers who wish to apply machine learning methods to their marine datasets. Machine learning in marine ecology: an overview of techniques and applications
OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icesjms/fsad100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen hybrid 3 citations 3 popularity Top 10% influence Average impulse Average Powered by BIP!visibility 3visibility views 3 Powered bymore_vert OceanRep arrow_drop_down Ghent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic BibliographyArchiMer - Institutional Archive of IfremerOther literature type . 2023Data sources: ArchiMer - Institutional Archive of IfremerBergen Open Research Archive - UiB; Norwegian Open Research ArchivesArticle . 2023 . Peer-reviewedLicense: CC BYHAL Descartes; HAL - Université de Lille; HAL AMU; Mémoires en Sciences de l'Information et de la Communication; HAL-IRDArticle . 2023License: CC BYFull-Text: https://hal.science/hal-04284704/documentHAL - Université de Lille; HAL-IRDArticle . 2023Full-Text: https://hal.science/hal-04254804/documentGhent University Academic BibliographyArticle . 2023Data sources: Ghent University Academic Bibliographyadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/icesjms/fsad100&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2023 NetherlandsPublisher:Firenze University Press Publicly fundedDomenico Dentoni; Carlo Cucchi; Marija Roglic; Rob Lubberink; Rahmin Bender-Salazar; Timothy Manyise;doi: 10.36253/bae-13930
Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
NARCIS; Research@WUR arrow_drop_down NARCIS; Bio-based and Applied EconomicsArticle . 2022Research@WUR; Bio-based and Applied EconomicsOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la CommunicationArticle . 2023Full-Text: https://hal.science/hal-04002011/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36253/bae-13930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 4 citations 4 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert NARCIS; Research@WUR arrow_drop_down NARCIS; Bio-based and Applied EconomicsArticle . 2022Research@WUR; Bio-based and Applied EconomicsOther literature type . Article . 2023 . Peer-reviewedLicense: CC BYMémoires en Sciences de l'Information et de la CommunicationArticle . 2023Full-Text: https://hal.science/hal-04002011/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.36253/bae-13930&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Conference object , Article 2023 Ireland, FrancePublisher:European Society for Engineering Education (SEFI) Publicly fundedAuthors: Kooli-Chaabane, Hanen; Lanthony, Antoine; Peyret, Nicolas;Kooli-Chaabane, Hanen; Lanthony, Antoine; Peyret, Nicolas;doi: 10.21427/qtjx-aj72
International audience; This paper aims to enrich the state of the art on engineering and management learning and education by shedding light on the barriers encountered during the COVID-19 crisis due to the imposed digital transformation. Our research question is: what were the barriers encountered in remote and hybrid learning during pandemic experiences and what lessons can be drawn for higher education in the context of Problem-Based Learning (PBL)? This paper aims to enrich the debate on how digitalization impacted the learning and teaching experience in teaching modules traditionally achieved face-to-face.
Arrow@TU Dublin arrow_drop_down HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21427/qtjx-aj72&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Arrow@TU Dublin arrow_drop_down HAL Paris Nanterre; Mémoires en Sciences de l'Information et de la CommunicationConference object . 2023License: CC BY NCadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21427/qtjx-aj72&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 United Kingdom, FrancePublisher:MDPI AG Peter Langridge; Michael Alaux; Nuno Felipe Almeida; Karim Ammar; Michael Baum; Faouzi Bekkaoui; Alison R. Bentley; Brian L. Beres; Bettina Berger; Hans-Joachim Braun; Gina Brown-Guedira; Christopher James Burt; Mario Jose Caccamo; Luigi Cattivelli; Gilles Charmet; Peter Civáň; Sylvie Cloutier; Jean-Pierre Cohan; Pierre J. Devaux; Fiona M. Doohan; M. Fernanda Dreccer; Moha Ferrahi; Silvia E. Germán; Stephen B. Goodwin; Simon Griffiths; Carlos Guzmán; Hirokazu Handa; Malcolm John Hawkesford; Zhonghu He; Eric Huttner; Tatsuya M. Ikeda; Benjamin Kilian; Ian Philip King; Julie King; John A. Kirkegaard; Jacob Lage; Jacques Le Gouis; Suchismita Mondal; Ewen Mullins; Frank Ordon; Jose Ivan Ortiz-Monasterio; Hakan Özkan; İrfan Öztürk; Silvia A. Pereyra; Curtis J. Pozniak; Hadi Quesneville; Martín C. Quincke; Greg John Rebetzke; Jochen Christoph Reif; Teresa Saavedra-Bravo; Ulrich Schurr; Shivali Sharma; Sanjay Kumar Singh; Ravi P. Singh; John W. Snape; Wuletaw Tadesse; Hisashi Tsujimoto; Roberto Tuberosa; Tim G. Willis; Xueyong Zhang;International audience; Wheat occupies a special role in global food security since, in addition to providing 20% of our carbohydrates and protein, almost 25% of the global production is traded internationally. The importance of wheat for food security was recognised by the Chief Agricultural Scientists of the G20 group of countries when they endorsed the establishment of the Wheat Initiative in 2011. The Wheat Initiative was tasked with supporting the wheat research community by facilitating collaboration, information and resource sharing and helping to build the capacity to address challenges facing production in an increasingly variable environment. Many countries invest in wheat research. Innovations in wheat breeding and agronomy have delivered enormous gains over the past few decades, with the average global yield increasing from just over 1 tonne per hectare in the early 1960s to around 3.5 tonnes in the past decade. These gains are threatened by climate change, the rapidly rising financial and environmental costs of fertilizer, and pesticides, combined with declines in water availability for irrigation in many regions. The international wheat research community has worked to identify major opportunities to help ensure that global wheat production can meet demand. The outcomes of these discussions are presented in this paper.
Agronomy; Rothamsted... arrow_drop_down Agronomy; Rothamsted RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYHAL Clermont Université; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03942478/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/agronomy12112767&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Agronomy; Rothamsted... arrow_drop_down Agronomy; Rothamsted RepositoryOther literature type . Article . 2022 . Peer-reviewedLicense: CC BYHAL Clermont Université; Mémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03942478/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3390/agronomy12112767&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 France, Italy, Italy, Croatia, Spain, Malta, Italy, CroatiaPublisher:Copernicus GmbH Publicly fundedFunded by:EC | EuroSea, EC | JERICO-S3, EC | SeaDataCloud +2 projectsEC| EuroSea ,EC| JERICO-S3 ,EC| SeaDataCloud ,EC| COCONET ,EC| JERICO-NEXTE. Reyes; E. Aguiar; M. Bendoni; M. Berta; C. Brandini; C. Brandini; A. Cáceres-Euse; F. Capodici; V. Cardin; D. Cianelli; D. Cianelli; G. Ciraolo; L. Corgnati; V. Dadić; B. Doronzo; B. Doronzo; A. Drago; D. Dumas; P. Falco; P. Falco; M. Fattorini; M. Fattorini; M. J. Fernandes; A. Gauci; R. Gómez; A. Griffa; C.-A. Guérin; I. Hernández-Carrasco; J. Hernández-Lasheras; M. Ličer; M. Ličer; P. Lorente; P. Lorente; M. G. Magaldi; C. Mantovani; H. Mihanović; A. Molcard; B. Mourre; A. Révelard; C. Reyes-Suárez; S. Saviano; S. Saviano; R. Sciascia; S. Taddei; J. Tintoré; J. Tintoré; Y. Toledo; M. Uttieri; M. Uttieri; I. Vilibić; I. Vilibić; E. Zambianchi; E. Zambianchi; A. Orfila;handle: 11367/106456 , 10261/284520
The Mediterranean Sea is a prominent climate-change hot spot, with many socioeconomically vital coastal areas being the most vulnerable targets for maritime safety, diverse met-ocean hazards and marine pollution. Providing an unprecedented spatial and temporal resolution at wide coastal areas, high-frequency radars (HFRs) have been steadily gaining recognition as an effective land-based remote sensing technology for continuous monitoring of the surface circulation, increasingly waves and occasionally winds. HFR measurements have boosted the thorough scientific knowledge of coastal processes, also fostering a broad range of applications, which has promoted their integration in coastal ocean observing systems worldwide, with more than half of the European sites located in the Mediterranean coastal areas. In this work, we present a review of existing HFR data multidisciplinary science-based applications in the Mediterranean Sea, primarily focused on meeting end-user and science-driven requirements, addressing regional challenges in three main topics: (i) maritime safety, (ii) extreme hazards and (iii) environmental transport process. Additionally, the HFR observing and monitoring regional capabilities in the Mediterranean coastal areas required to underpin the underlying science and the further development of applications are also analyzed. The outcome of this assessment has allowed us to provide a set of recommendations for future improvement prospects to maximize the contribution to extending science-based HFR products into societally relevant downstream services to support blue growth in the Mediterranean coastal areas, helping to meet the UN's Decade of Ocean Science for Sustainable Development and the EU's Green Deal goals. Publication fees are provided by EuroSea (EU Horizon 2020 research and innovation program, grant agreement ID no. 862626) and JERICO-S3 (EU Horizon 2020 research and innovation program, grant agreement ID no. 871153). Research was supported by the following projects: CMEMS-INSTAC phase II, which provides the context of the activities for HFR data harmonization, standardization and distribution; the IBISAR CMEMS User-Uptake project (67-UU-DO-CMEMS-DEM4_LOT7); MEDCLIC project (LCF/PR/PR14/11090002, supported by La Caixa Foundation) that contributed to the development of the WMOP model; the CARTHE III project (Prime Award no. SA 18-14, subcontract agreement SPC-000649) and CALYPSO Departmental Research Initiative (grant no. N00014-18-1-2782), which supported the development of the methodology for extreme event monitoring in the Ligurian Sea (Sect. 2.2.1); the IMPACT project (EU funded, PC Interreg VA IFM 2014–2020, Prot. ISMAR no. 0002269) that funded the HFR network in the Ligurian Sea; the JERICO-NEXT project (EU Horizon 2020, grant agreement no. 654410) under which the assimilation of HFR data in WMOP (Sect. 2.1.2) and the biological connectivity application in the Gulf of Manfredonia (Sect. 2.3.3) have been developed; the COCONET project (EU FP7, grant agreement no. 287844) and the Italian national projects SSDPESCA and RITMARE; and the SICOMAR-PLUS EU Interreg Marittimo project, which funded the recent upgrades to the HFR installations of the MIO in Toulon.
Full-text Institutio... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Ocean ScienceArticle . 2022Croatian Scientific Bibliography - CROSBIOther literature type . 2022Data sources: Croatian Scientific Bibliography - CROSBIMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/os-18-797-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 94visibility views 94 download downloads 76 Powered bymore_vert Full-text Institutio... arrow_drop_down Recolector de Ciencia Abierta, RECOLECTA; Ocean ScienceArticle . 2022Croatian Scientific Bibliography - CROSBIOther literature type . 2022Data sources: Croatian Scientific Bibliography - CROSBIMémoires en Sciences de l'Information et de la Communication; HAL AMU; HAL-IRDArticle . 2022License: CC BYadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.5194/os-18-797-2022&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 IrelandPublisher:Elsevier BV Publicly fundedMcSweeney, Diarmuid; Delaby, Luc; O'Brien, Bernadette; Ferard, Alexis; Byrne, Nicky; McDonagh, Justin; Ivanov, Stepan; Coughlan, Neil E.;International audience; The strategic allocation of pasture grazing area to dairy cows is essential for optimal management and increased outputs. Rising plate meters are frequently used to estimate pasture herbage mass, i.e. dry matter yield per hectare, by employing simple regression equations that relate compressed sward height to herbage mass. However, to improve the accuracy and precision of these equations, so that inherent variation of grasslands is captured, there is a need to incorporate differences in grass types and seasonal growth. Using a total of 308 grass plots, the variation of growth for both perennial ryegrass and hybrid ryegrass was recorded over the seven-month growing season, i.e. March-September. From these data three dynamic equations were derived. The models showed reduced levels of error in comparison to most other conventional equations. As such, the derived models represent a considerable advance for predictive assessment of herbage mass and will support more efficient grassland utilisation by farmers. Although all equations were found to be highly accurate and precise, only a single equation was considered the most effective (R 2 = 0.7; RMSE = 248.05), allowing herbage mass to be predicted reliably from compressed sward height data in relation to ryegrass type and calendar month. Although further research will be required, the results presented allow farm operators to calculate herbage mass, as well as support the development of decision support tools to improve on-farm grassland management, particularly at the local paddock rather than national level.
T-Stór arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03628017/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2022.106919&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 2 citations 2 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert T-Stór arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationArticle . 2022License: CC BYFull-Text: https://hal.inrae.fr/hal-03628017/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2022.106919&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 SpainPublisher:Frontiers Media SA Publicly fundedLuciano Di Mele; Carmen Moret-Tatay; Carmen Moret-Tatay; Mike Murphy; Céline Borg; Raúl Espert-Tortajada; Camila R. De Oliveira;The world we live in is drastically different from previous decades in terms of digitalization expansion. Logically, one might expect that these changes modify the way we behave, our habits, the way we do tasks, communicate and access information (Moret-Tatay et al., 2018; Wang et al., 2021). And, therefore, the functioning of the brain and even its anatomy. If so, it seems imperative to examine how it affects our cognition. Furthermore, based on the assumption that the brain is plastic and adaptable, some alterations and changes are expected to optimize resources or even compensations by improving other skills (Oliveira et al., 2018; Bubbico et al., 2020; Della Gatta et al., 2021).
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fpsyg.2022.808275&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess RoutesGreen gold 0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fpsyg.2022.808275&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2022 IrelandPublisher:Elsevier BV Publicly fundedFunded by:SFI | VistaMilk Centre, SFI | INSIGHT_Phase 2SFI| VistaMilk Centre ,SFI| INSIGHT_Phase 2Riaboff, L.; Shalloo, L.; Smeaton, A.F.; Couvreur, S.; Madouasse, A.; Keane, M.T.;International audience; Precision Technologies are emerging in the context of livestock farming to improve management practices and the health and welfare of livestock through monitoring individual animal behaviour. Continuously collecting information about livestock behaviour is a promising way to address several of these target areas. Wearable accelerometer sensors are currently the most promising system to capture livestock behaviour. Accelerometer data should be analysed properly to obtain reliable information on livestock behaviour. Many studies are emerging on this subject, but none to date has highlighted which techniques to recommend or avoid. In this paper, we systematically review the literature on the prediction of livestock behaviour from raw accelerometer data, with a specific focus on livestock ruminants. Our review is based on 66 surveyed articles, providing reliable evidence of a 3-step methodology common to all studies, namely (1) Data Collection, (2) Data Pre-Processing and (3) Model Development, with different techniques used at each of the 3 steps. The aim of this review is thus to (i) summarise the predictive performance of models and point out the main limitations of the 3-step methodology, (ii) make recommendations on a methodological blueprint for future studies and (iii) propose lines to explore in order to address the limitations outlined. This review shows that the 3-step methodology ensures that several major ruminant behaviours can be reliably predicted, such as grazing/eating, ruminating, moving, lying or standing. However, the areas faces two main limitations: (i) Most models are less accurate on rarely observed or transitional behaviours, behaviours may be important for assessing health, welfare and environmental issues and (ii) many models exhibit poor generalisation, that can compromise their commercial use. To overcome these limitations we recommend maximising variability in the data collected, selecting pre-processing methods that are appropriate to target behaviours being studied, and using classifiers that avoid over-fitting to improve generalisability. This review presents the current situation involving the use of sensors as valuable tools in the field of behaviour recording and contributes to the improvement of existing tools for automatically monitoring ruminant behaviour in order to address some of the issues faced by livestock farming.
Computers and Electr... arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2021.106610&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 62 citations 62 popularity Top 1% influence Top 10% impulse Top 1% Powered by BIP!more_vert Computers and Electr... arrow_drop_down Computers and Electronics in AgricultureArticle . 2022 . Peer-reviewedLicense: CC BYData sources: Crossrefadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.compag.2021.106610&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Italy, France, SwedenPublisher:Canadian Science Publishing Publicly fundedAuthors: Torresan, Chiara; Benito-Garzón, Marta; O’Grady, Michael; Robson, Thomas Matthew; +9 AuthorsTorresan, Chiara; Benito-Garzón, Marta; O’Grady, Michael; Robson, Thomas Matthew; Picchi, Gianni; Panzacchi, Pietro; Tomelleri, Enrico; Smith, Melanie; Marshall, John; Wingate, Lisa; Tognetti, Roberto; Rustad, Lindsey,; Kneeshaw, Dan;International audience; Climate-smart forestry (CSF) is an emerging branch of sustainable adaptive forest management aimed at enhancing the potential of forests to adapt to and mitigate climate change. It relies on much higher data requirements than traditional forestry. These data requirements can be met by new devices that support continuous, in situ monitoring of forest conditions in real time. We propose a comprehensive network of sensors, i.e., a wireless sensor network (WSN), that can be part of a worldwide network of interconnected uniquely addressable objects, an Internet of Things (IoT), which can make data available in near real time to multiple stakeholders, including scientists, foresters, and forest managers, and may partially motivate citizens to participate in big data collection. The use of in situ sources of monitoring data as ground-truthed training data for remotely sensed data can boost forest monitoring by increasing the spatial and temporal scales of the monitoring, leading to a better understanding of forest processes and potential threats. Here, some of the key developments and applications of these sensors are outlined, together with guidelines for data management. Examples are given of their deployment to detect early warning signals (EWS) of ecosystem regime shifts in terms of forest productivity, health, and biodiversity. Analysis of the strategic use of these tools highlights the opportunities for engaging citizens and forest managers in this new generation of forest monitoring.
Epsilon Open Archive arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2021License: CC BYFull-Text: https://hal.inrae.fr/hal-03511683/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2020-0295&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routeshybrid 22 citations 22 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Epsilon Open Archive arrow_drop_down Mémoires en Sciences de l'Information et de la Communication; Hal-DiderotArticle . 2021License: CC BYFull-Text: https://hal.inrae.fr/hal-03511683/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1139/cjfr-2020-0295&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 Netherlands, Ireland, Denmark, FrancePublisher:Frontiers Media SA Publicly fundedFunded by:EC | REFLOWEC| REFLOWYihuai Hu; Olha Khomenko; Olha Khomenko; Wenxuan Shi; Wenxuan Shi; Ángel Velasco-Sánchez; Ángel Velasco-Sánchez; S. M. Ashekuzzaman; Nadia Bennegadi-Laurent; Karen Daly; Owen Fenton; Mark G. Healy; J. J. Leahy; Peter Sørensen; Sven G. Sommer; Arezoo Taghizadeh-Toosi; Isabelle Trinsoutrot-Gattin;International audience; Worldwide dairy processing plants produce high volumes of dairy processing sludge (DPS), which can be converted into secondary derivatives such as struvite, biochar and ash (collectively termed STRUBIAS). All of these products have high fertilizer equivalent values (FEV), but future certification as phosphorus (P)-fertilizers in the European Union will mean they need to adhere to new technical regulations for fertilizing materials i.e., content limits pertaining to heavy metals (Cd, Cu, Hg, Ni, Pb, and Zn), synthetic organic compounds and pathogens. This systematic review presents the current state of knowledge about these bio-based fertilizers and identifies knowledge gaps. In addition, a review and calculation of greenhouse gas emissions from a range of concept dairy sludge management and production systems for STRUBIAS products [i.e., biochar from pyrolysis and hydrochar from hydrothermal carbonization (HTC)] is presented. Results from the initial review showed that DPS composition depends on product type and treatment processes at a given processing plant, which leads to varied nutrient, heavy metal and carbon contents. These products are all typically high in nutrients and carbon, but low in heavy metals. Further work needs to concentrate on examining their pathogenic microorganism and emerging contaminant contents, in addition to conducting an economic assessment of production and end-user costs related to chemical fertilizer equivalents. With respect to STRUBIAS products, contaminants not present in the raw DPS may need further treatment before being land applied in agriculture e.g., heated producing ashes, hydrochar, or biochar. An examination of these products from an environmental perspective shows that their water quality footprint could be minimized using application rates based on P incorporation of these products into nutrient management planning and application by incorporation into the soil. Results from the concept system showed that elimination of methane emissions was possible, along with a reduction in nitrous oxide. Less carbon (C) is transferred to agricultural fields where DPS is processed into biochar and hydrochar, but due to high recalcitrance, the C in this form is retained much longer in the soil, and therefore STRUBIAS products represent a more stable and long-term option to increase soil C stocks and sequestration.
NARCIS; Research@WUR arrow_drop_down Frontiers in Sustainable Food Systems; Research@WUR; ZENODOOther literature type . Article . 2021 . Peer-reviewedLicense: CC BYAccess to Research at National University of Ireland, GalwayArticle . 2021 . Peer-reviewedMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03427199/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fsufs.2021.763020&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euAccess Routesgold 8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 14visibility views 14 download downloads 19 Powered bymore_vert NARCIS; Research@WUR arrow_drop_down Frontiers in Sustainable Food Systems; Research@WUR; ZENODOOther literature type . Article . 2021 . Peer-reviewedLicense: CC BYAccess to Research at National University of Ireland, GalwayArticle . 2021 . Peer-reviewedMémoires en Sciences de l'Information et de la CommunicationArticle . 2021Full-Text: https://hal.science/hal-03427199/documentadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fsufs.2021.763020&type=result"></script>'); --> </script>
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