D7.2 – Big Data Analysis and Visualization is a software deliverable. It presents the VRE (Virtual Research Environment) that has been set up on the D4Science platform to support the Food Security Community use case, which is High-throughput phenotyping. This document presents the different features which will be implemented in this VRE in order to meet the phenomics researchers’ needs. The Food Security VRE already provides standard collaboration features such as file sharing and message posting but it is also planned to add new features to fit the phenomics community needs. For instance, the user will have access to high-throughput phenotyping platforms data through web services and will be able to run analytics workflows on this data. V...
Virtual Research Environments (VREs) bridge the gap between the compute and storage infrastructure b...
The agINFRA project (www.aginfra.eu) was a European Commission funded project under the 7th Framewor...
AGINFRA+ aspires to provide a sustainable channel addressing adjacent but not fully connected user c...
D7.2 – Big Data Analysis and Visualization is a software deliverable. It presents the VRE (Virtual R...
For the domain of agro-climatic and agro-economic modelling and its research community, personas wer...
Tackling some of the grand global challenges, agro-environmental research has turned more and more i...
Deliverable D4.3 “Open Science Visualisation Technologies” is a software deliverable, which aims to ...
In the domain of food safety modelling two use cases were identified where scientific data analysis ...
Big Data methods and tools are becoming widely adopted by the ICT industry and create new opportunit...
In the past three years, the AGINFRA project has introduced virtual research environments as a colla...
Sustainable, high-yield production of crops requires transitioning from conventional agricultural me...
The enhancements in IT solutions and the open science movement are injecting changes in the practice...
The deliverable D8.4 “Integration with existing real-life Practices” showcases the application of Bi...
Agricultural and food research are increasingly becoming fields where data acquisition, processing, ...
Talk given for the Deploying the Digital AgriTech Ecosystem workshop for the Borevitz ANU Grand Chal...
Virtual Research Environments (VREs) bridge the gap between the compute and storage infrastructure b...
The agINFRA project (www.aginfra.eu) was a European Commission funded project under the 7th Framewor...
AGINFRA+ aspires to provide a sustainable channel addressing adjacent but not fully connected user c...
D7.2 – Big Data Analysis and Visualization is a software deliverable. It presents the VRE (Virtual R...
For the domain of agro-climatic and agro-economic modelling and its research community, personas wer...
Tackling some of the grand global challenges, agro-environmental research has turned more and more i...
Deliverable D4.3 “Open Science Visualisation Technologies” is a software deliverable, which aims to ...
In the domain of food safety modelling two use cases were identified where scientific data analysis ...
Big Data methods and tools are becoming widely adopted by the ICT industry and create new opportunit...
In the past three years, the AGINFRA project has introduced virtual research environments as a colla...
Sustainable, high-yield production of crops requires transitioning from conventional agricultural me...
The enhancements in IT solutions and the open science movement are injecting changes in the practice...
The deliverable D8.4 “Integration with existing real-life Practices” showcases the application of Bi...
Agricultural and food research are increasingly becoming fields where data acquisition, processing, ...
Talk given for the Deploying the Digital AgriTech Ecosystem workshop for the Borevitz ANU Grand Chal...
Virtual Research Environments (VREs) bridge the gap between the compute and storage infrastructure b...
The agINFRA project (www.aginfra.eu) was a European Commission funded project under the 7th Framewor...
AGINFRA+ aspires to provide a sustainable channel addressing adjacent but not fully connected user c...