Explore the words cloud of the DRAGON project. It provides you a very rough idea of what is the project "DRAGON" about.
The following table provides information about the project.
Coordinator |
BIOSENSE INSTITUTE - RESEARCH AND DEVELOPMENT INSTITUTE FOR INFORMATION TECHNOLOGIES IN BIOSYSTEMS
Organization address contact info |
Coordinator Country | Serbia [RS] |
Total cost | 962˙750 € |
EC max contribution | 962˙750 € (100%) |
Programme |
1. H2020-EU.4.b. (Twinning of research institutions) |
Code Call | H2020-WIDESPREAD-05-2017-Twinning |
Funding Scheme | CSA |
Starting year | 2018 |
Duration (year-month-day) | from 2018-10-01 to 2021-09-30 |
Take a look of project's partnership.
# | ||||
---|---|---|---|---|
1 | BIOSENSE INSTITUTE - RESEARCH AND DEVELOPMENT INSTITUTE FOR INFORMATION TECHNOLOGIES IN BIOSYSTEMS | RS (NOVI SAD) | coordinator | 412˙750.00 |
2 | WAGENINGEN UNIVERSITY | NL (WAGENINGEN) | participant | 282˙500.00 |
3 | AGRI-EPI CENTRE LIMITED | UK (CRANFIELD) | participant | 267˙500.00 |
'Precision Agriculture (PA) is an evolving farming management strategy using digital technologies & techniques to monitor and optimise agricultural production processes. PA methods, harnessing data streams from satellites, mobile phones, Internet of Things (IoT) and technologies such as cloud computing and artificial intelligence, have the potential to increase quantity & quality of agricultural outputs while reducing input (water, energy, fertilisers, pesticides, etc.) and waste. One of the main challenges facing PA is a low rate of adoption of PA technologies & practices, especially concerning the 'big data in agriculture'. One of the reasons is the lack of skills for executing efficient communication and in turn fuel the adoption rate of the data-driven PA innovations. There is also a need to enhance scientific & technological (S&T) skills for executing sophisticated data analytics on multiscale/multisource agricultural data, addressing all classes of data source, environment/region/individual farm/individual animals/plants, in order to extract more accurate and impactful actionable information and knowledge from the combined data. DRAGON capacity-building strategy will enable expertise and skill transfer from Agri-EPI Centre, the UK and Wageningen University in the Netherlands to BIOS in order to enhance 1) BIOS’ researchers’ S&T capacity for performing multi-scale/multi-source data analyses; 2) BIOS’ researchers’ capability to communicate practical big data-related knowledge to various stakeholders across the supply chain and the non-scientific local communities. Specifically, this means that BIOS knowledge technologies research group, currently focused on data analytics only (science-driven research), will be enhanced through DRAGON into BIOS Knowledge & Innovation Group (KIG) concentrating on interdisciplinary innovation-driven R&D within a co-creation environment. Post DRAGON BIOS’ KIG will be competitive in the PA sector on European and Global levels. '
year | authors and title | journal | last update |
---|---|---|---|
2020 |
Argyrios Samourkasidis, Ioannis N. Athanasiadis A semantic approach for timeseries data fusion published pages: 105171, ISSN: 0168-1699, DOI: 10.1016/j.compag.2019.105171 |
Computers and Electronics in Agriculture 169 | 2020-03-06 |
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The information about "DRAGON" are provided by the European Opendata Portal: CORDIS opendata.