LIFE SCENCE 4.0 – DATA PLATFORM
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F20%3A84605" target="_blank" >RIV/60460709:41110/20:84605 - isvavai.cz</a>
Result on the web
<a href="https://ap.pef.czu.cz/en/r-12193-conference-proceedings" target="_blank" >https://ap.pef.czu.cz/en/r-12193-conference-proceedings</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
čeština
Original language name
LIFE SCENCE 4.0 – DATA PLATFORM
Original language description
The paper presents the current development of big data storage solution at the campus of the Czech University of Life Sciences Prague (CULS) ( formerly Czech University of Agriculture Prague). The campus is quite large, attended by over 20,000 students and includes school forestry and agricultural businesses. The main goal of the solution is to create a platform for data integration within life sciences 4,0 framework. This includes the integration (collection, storage, normalization, presentation) of heterogeneous IoT data sources with distinct areas of focus such as remote sensing, hydrometeorology, operational and economic data. Modern sustainable development is based on various smart solutions based on the processing and utilization of large volumes of heterogeneous data, e.g. Industry 4,0
Czech name
LIFE SCENCE 4.0 – DATA PLATFORM
Czech description
The paper presents the current development of big data storage solution at the campus of the Czech University of Life Sciences Prague (CULS) ( formerly Czech University of Agriculture Prague). The campus is quite large, attended by over 20,000 students and includes school forestry and agricultural businesses. The main goal of the solution is to create a platform for data integration within life sciences 4,0 framework. This includes the integration (collection, storage, normalization, presentation) of heterogeneous IoT data sources with distinct areas of focus such as remote sensing, hydrometeorology, operational and economic data. Modern sustainable development is based on various smart solutions based on the processing and utilization of large volumes of heterogeneous data, e.g. Industry 4,0
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Agrarian perspectives XXIX. Trends and Challenges of Agrarian Sector
ISBN
978-80-213-3041-2
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
357-361
Publisher name
Czech University of Life Sciences Prague
Place of publication
Praha
Event location
Praha
Event date
Jan 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—