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391 Research products, page 1 of 40

  • Rural Digital Europe
  • Other research products
  • 2013-2022
  • Open Access
  • Other ORP type
  • Other literature type
  • English

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  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Krimmel, Erica;
    Publisher: Zenodo

    This document is a resource for individuals interested in learning about archiving their work on Zenodo, including presentations, instructional content, workflow documents, outreach materials, etc. It was originally created for the biodiversity collections community. Files include the same document in multiple formats, as well as a separate file containing one of the figures.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    v. Münchhausen, Susanne;
    Publisher: Zenodo
    Project: EC | LIAISON (773418)

    This document gives a brief overview of LIAISON's achievements reached at the end of the European research and innovation project (September/October 2022).

  • Other research product . Other ORP type . InteractiveResource . 2022
    Open Access English
    Authors: 
    Jana Ameye; Mario Hernandez; Tim Van de Voorde;
    Publisher: BELSPO
    Country: Belgium

    The main objective of the Belspo-funded LIMAMAL project was to support archaeologists in creating 3D terrain visualizations based on Lidar data and Pléiades stereoscopic imagery, and a combination or “fusion” thereof. A case study was developed to demonstrate the application of Pléiades imagery and light detection and ranging (lidar) technologies for prospection and visualization of the Mesoamerican archaeological landscape. Based on this case study, guidelines in English and Spanish have been developed to explain the technical processing. The project involved a stakeholder: the National Institute of Anthropology and History (INAH), a Mexican federal government institution responsible for research, conservation, protection and spreading of knowledge on Mexican cultural heritage. The case study and guidelines were presented to the stakeholder and other interested parties during several meetings held during a short mission to Yucatan, Mexico in the spring of 2022.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    v. Münchhausen, Susanne;
    Publisher: Zenodo
    Project: EC | LIAISON (773418)

    This document gives a short overview of the EU research and innovation project LIAISON. First, it highlights the basic facts about the projects. Second, it explains the underlying multi-actor approach that is both driving methodology for the project work and study object. Third, the document presents the output of LIAISON for multi-actor management, training, monitoring and evaluation and the improvement of the enabling environment. The project's output was finalised in 2022 and uploaded to the project homepage (www.liaison2020.eu) and the Zenodo Community 'liaisonh2020'.

  • Open Access English
    Authors: 
    Martínez-López, Javier; de Vente, Joris; Albaladejo, Juan;
    Publisher: Zenodo
    Project: EC | COASTAL (773782)

    This System Dynamics model describes interactions between different sectors of the socio-ecosystem of the Mar Menor coastal lagoon and the surrounding Campo de Cartagena watershed in south-eastern Spain. The model allows simulation of the current situation and of the impacts of a ‘Business Roadmap’ consisting of 14 solutions under different scenarios of socioeconomic and climate change. Model output is presented as impacts on multiple Key Performance Indicators of sustainability including environmental, social and economic aspects. Through these simulations, the model aims to support integrated planning and better informed decision making. The model, developed in Vensim software, allows making integrated assessments regarding interactions between agricultural development, water and nutrient balance, sustainable farming practices, rural and coastal ecotourism, renewable photovoltaic energy facilities, social awareness and governance, economic profit and jobs, and the ecological status of the Mar Menor lagoon. The simulation provides information regarding impacts on a broad range of Key Performance Indicators (e.g. ‘nutrients in Mar Menor’, ‘pressure on water resources’, ‘irrigated land area’, ‘Mar Menor degradation status’ ‘coastal-rural recreation potential’ ‘number of expected tourists’, ‘photovoltaic energy potential installed’, ‘total gross economic benefit’, ‘number of jobs’, etc.). The structure of the System Dynamics model was co-developed through an extensive participatory modelling process. In this process, consisting of workshops, expert interviews and questionnaires between 2018 and 2022, stakeholders from all sectors identified the main interactions between sectors as well as potential solutions that could help reach a jointly developed future Vision for the area. Mental maps of the interactions between sectors that were developed during this participatory process formed the starting point for the System Dynamics model and can be consulted in Martínez-López et al. (2022a). The ‘Business roadmap’ and its 14 solutions that were also co-developed through this participatory process, are described in detail in Martínez López et al (2022b). The time series of input data for the Business roadmap and for the socioeconomic and climate change scenarios are reported in Martínez López et al (2022c) Martínez López & de Vente (2022) respectively, but are also an integral part of the model itself. The model can be run in Vensim PLE (Personal Learning Edition) that is free for educational use, and it includes a dashboard that allows to easily evaluate the impacts of different combinations solutions under different scenarios.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Lyhne, Ivar; Kørnøv, Lone;
    Country: Denmark

    Presentation of the DREAMS project in the session on trends of EIA/SEA research for the German/Austrian conference on Environmental Impact Assessment, 2022

  • Open Access English
    Authors: 
    Hernández de Cos, Pablo;
    Country: Spain

    Eurofi 2022 Financial Forum While advances in financial technology that seek to enhance the efficiency, inclusiveness and quality of services should be welcomed, they will not replace the critical role of human judgment in banking and supervision. And they cannot substitute for the importance of ongoing cooperation among Basel Committee members with a view to safeguarding global financial stability.

  • Open Access English
    Authors: 
    Bergsma, Simon; Euverink, Gerrit Jan Willem; Charalampogiannis, Nikolaos; Poulios, Efthymios; Janssens, Thierry K.S.; Achinas, Spyridon;
    Country: Netherlands

    The use of chemical pesticides in agriculture goes hand in hand with some crucial problems. These problems include environmental deterioration and human health complications. To eliminate the problems accompanying chemical pesticides, biological alternatives should be considered. These developments spark interest in many environmental fields, including agriculture. In this review, antifungal compounds produced by lactic acid bacteria (LABs) are considered. It summarizes the worldwide distribution of pesticides and the effect of pesticides on human health and goes into detail about LAB species, their growth, fermentation, and their antifungal compounds. Additionally, interactions between LABs with mycotoxins and plants are discussed.

  • Open Access English
    Authors: 
    Miralda, Shania;
    Country: Canada

    This research includes two studies on estimating crop yield using satellite-based vegetation indices. For the first study, the objective is to compare eight different functional forms for estimating U.S crop yield using satellite based NDVI. For the second study, the objective is to examine 10 satellite-based vegetation indices for estimating U.S crop yield. For both studies, corn, soybeans, spring wheat, and winter wheat data for crop yield (bushel/acre) were obtained from the USDA NASS from 2008 to 2019 for a total of 12 years covering all 48 states in the United States except Hawaii and Alaska (though different states are included, based on where the crops are grown). Data for the vegetation indices were obtained from the MODIS satellite using 250m resolution level and selecting for maximum Vegetation Index values. The methodology used regression with crop yield as the dependent variable. The main independent variable is the selected vegetation index (e.g NDVI, GOSAVI, etc). A time trend variable is also included, and dummy variables for U.S States. Results for the first study indicated that relationship between NDVI and crop yield was mostly nonlinear, and piecewise regression was generally found to be the most suitable functional form. Results for the second study showed that for all 10 indices analyzed, that RDVI, GOSAVI, and GSAVI provided better estimates of crop yield than the commonly used NDVI. These results should be useful in providing a better understanding of various functional forms and various satellite based vegetation indices for improving crop yield estimation.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Buhr, Phiona;
    Country: Canada

    Data from a novel capacitive sensor array developed at the University of Manitoba, temperature sensors, humidity sensors, and light sensors placed inside a beehive for a summer is analysed using various time series analysis and data mining techniques. The goal of the analyses are to create features relevant in tracking honey production, detecting swarming, and detecting clustering events. The secondary goal of this thesis is to outline the current state of precision beekeeping in order to understand how this novel capacitive sensor array fits into the greater world of precision beekeeping. This work is a first step in the analytic requirements for the ultimate goal of automating beekeeping using data from sensors like these. Data from this novel capacitive sensor array demonstrated performance unrivalled by other content monitoring methods currently used in precision beekeeping.

Advanced search in Research products
Research products
arrow_drop_down
Searching FieldsTerms
Any field
arrow_drop_down
includes
arrow_drop_down
Include:
The following results are related to Rural Digital Europe. Are you interested to view more results? Visit OpenAIRE - Explore.
391 Research products, page 1 of 40
  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Krimmel, Erica;
    Publisher: Zenodo

    This document is a resource for individuals interested in learning about archiving their work on Zenodo, including presentations, instructional content, workflow documents, outreach materials, etc. It was originally created for the biodiversity collections community. Files include the same document in multiple formats, as well as a separate file containing one of the figures.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    v. Münchhausen, Susanne;
    Publisher: Zenodo
    Project: EC | LIAISON (773418)

    This document gives a brief overview of LIAISON's achievements reached at the end of the European research and innovation project (September/October 2022).

  • Other research product . Other ORP type . InteractiveResource . 2022
    Open Access English
    Authors: 
    Jana Ameye; Mario Hernandez; Tim Van de Voorde;
    Publisher: BELSPO
    Country: Belgium

    The main objective of the Belspo-funded LIMAMAL project was to support archaeologists in creating 3D terrain visualizations based on Lidar data and Pléiades stereoscopic imagery, and a combination or “fusion” thereof. A case study was developed to demonstrate the application of Pléiades imagery and light detection and ranging (lidar) technologies for prospection and visualization of the Mesoamerican archaeological landscape. Based on this case study, guidelines in English and Spanish have been developed to explain the technical processing. The project involved a stakeholder: the National Institute of Anthropology and History (INAH), a Mexican federal government institution responsible for research, conservation, protection and spreading of knowledge on Mexican cultural heritage. The case study and guidelines were presented to the stakeholder and other interested parties during several meetings held during a short mission to Yucatan, Mexico in the spring of 2022.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    v. Münchhausen, Susanne;
    Publisher: Zenodo
    Project: EC | LIAISON (773418)

    This document gives a short overview of the EU research and innovation project LIAISON. First, it highlights the basic facts about the projects. Second, it explains the underlying multi-actor approach that is both driving methodology for the project work and study object. Third, the document presents the output of LIAISON for multi-actor management, training, monitoring and evaluation and the improvement of the enabling environment. The project's output was finalised in 2022 and uploaded to the project homepage (www.liaison2020.eu) and the Zenodo Community 'liaisonh2020'.

  • Open Access English
    Authors: 
    Martínez-López, Javier; de Vente, Joris; Albaladejo, Juan;
    Publisher: Zenodo
    Project: EC | COASTAL (773782)

    This System Dynamics model describes interactions between different sectors of the socio-ecosystem of the Mar Menor coastal lagoon and the surrounding Campo de Cartagena watershed in south-eastern Spain. The model allows simulation of the current situation and of the impacts of a ‘Business Roadmap’ consisting of 14 solutions under different scenarios of socioeconomic and climate change. Model output is presented as impacts on multiple Key Performance Indicators of sustainability including environmental, social and economic aspects. Through these simulations, the model aims to support integrated planning and better informed decision making. The model, developed in Vensim software, allows making integrated assessments regarding interactions between agricultural development, water and nutrient balance, sustainable farming practices, rural and coastal ecotourism, renewable photovoltaic energy facilities, social awareness and governance, economic profit and jobs, and the ecological status of the Mar Menor lagoon. The simulation provides information regarding impacts on a broad range of Key Performance Indicators (e.g. ‘nutrients in Mar Menor’, ‘pressure on water resources’, ‘irrigated land area’, ‘Mar Menor degradation status’ ‘coastal-rural recreation potential’ ‘number of expected tourists’, ‘photovoltaic energy potential installed’, ‘total gross economic benefit’, ‘number of jobs’, etc.). The structure of the System Dynamics model was co-developed through an extensive participatory modelling process. In this process, consisting of workshops, expert interviews and questionnaires between 2018 and 2022, stakeholders from all sectors identified the main interactions between sectors as well as potential solutions that could help reach a jointly developed future Vision for the area. Mental maps of the interactions between sectors that were developed during this participatory process formed the starting point for the System Dynamics model and can be consulted in Martínez-López et al. (2022a). The ‘Business roadmap’ and its 14 solutions that were also co-developed through this participatory process, are described in detail in Martínez López et al (2022b). The time series of input data for the Business roadmap and for the socioeconomic and climate change scenarios are reported in Martínez López et al (2022c) Martínez López & de Vente (2022) respectively, but are also an integral part of the model itself. The model can be run in Vensim PLE (Personal Learning Edition) that is free for educational use, and it includes a dashboard that allows to easily evaluate the impacts of different combinations solutions under different scenarios.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Lyhne, Ivar; Kørnøv, Lone;
    Country: Denmark

    Presentation of the DREAMS project in the session on trends of EIA/SEA research for the German/Austrian conference on Environmental Impact Assessment, 2022

  • Open Access English
    Authors: 
    Hernández de Cos, Pablo;
    Country: Spain

    Eurofi 2022 Financial Forum While advances in financial technology that seek to enhance the efficiency, inclusiveness and quality of services should be welcomed, they will not replace the critical role of human judgment in banking and supervision. And they cannot substitute for the importance of ongoing cooperation among Basel Committee members with a view to safeguarding global financial stability.

  • Open Access English
    Authors: 
    Bergsma, Simon; Euverink, Gerrit Jan Willem; Charalampogiannis, Nikolaos; Poulios, Efthymios; Janssens, Thierry K.S.; Achinas, Spyridon;
    Country: Netherlands

    The use of chemical pesticides in agriculture goes hand in hand with some crucial problems. These problems include environmental deterioration and human health complications. To eliminate the problems accompanying chemical pesticides, biological alternatives should be considered. These developments spark interest in many environmental fields, including agriculture. In this review, antifungal compounds produced by lactic acid bacteria (LABs) are considered. It summarizes the worldwide distribution of pesticides and the effect of pesticides on human health and goes into detail about LAB species, their growth, fermentation, and their antifungal compounds. Additionally, interactions between LABs with mycotoxins and plants are discussed.

  • Open Access English
    Authors: 
    Miralda, Shania;
    Country: Canada

    This research includes two studies on estimating crop yield using satellite-based vegetation indices. For the first study, the objective is to compare eight different functional forms for estimating U.S crop yield using satellite based NDVI. For the second study, the objective is to examine 10 satellite-based vegetation indices for estimating U.S crop yield. For both studies, corn, soybeans, spring wheat, and winter wheat data for crop yield (bushel/acre) were obtained from the USDA NASS from 2008 to 2019 for a total of 12 years covering all 48 states in the United States except Hawaii and Alaska (though different states are included, based on where the crops are grown). Data for the vegetation indices were obtained from the MODIS satellite using 250m resolution level and selecting for maximum Vegetation Index values. The methodology used regression with crop yield as the dependent variable. The main independent variable is the selected vegetation index (e.g NDVI, GOSAVI, etc). A time trend variable is also included, and dummy variables for U.S States. Results for the first study indicated that relationship between NDVI and crop yield was mostly nonlinear, and piecewise regression was generally found to be the most suitable functional form. Results for the second study showed that for all 10 indices analyzed, that RDVI, GOSAVI, and GSAVI provided better estimates of crop yield than the commonly used NDVI. These results should be useful in providing a better understanding of various functional forms and various satellite based vegetation indices for improving crop yield estimation.

  • Other research product . Other ORP type . 2022
    Open Access English
    Authors: 
    Buhr, Phiona;
    Country: Canada

    Data from a novel capacitive sensor array developed at the University of Manitoba, temperature sensors, humidity sensors, and light sensors placed inside a beehive for a summer is analysed using various time series analysis and data mining techniques. The goal of the analyses are to create features relevant in tracking honey production, detecting swarming, and detecting clustering events. The secondary goal of this thesis is to outline the current state of precision beekeeping in order to understand how this novel capacitive sensor array fits into the greater world of precision beekeeping. This work is a first step in the analytic requirements for the ultimate goal of automating beekeeping using data from sensors like these. Data from this novel capacitive sensor array demonstrated performance unrivalled by other content monitoring methods currently used in precision beekeeping.