Processing og Big Data in Internet of Things and Precision Agriculture
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F18%3A78094" target="_blank" >RIV/60460709:41110/18:78094 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
čeština
Original language name
Processing og Big Data in Internet of Things and Precision Agriculture
Original language description
The main focus of the paper is the analysis of various types of agriculture data and open source operational databases and platforms for data collection and data warehousing suitable for storing data obtained from the Internet of Things and Precision Agriculture. The methodical approach consists of primary analysis of current state of operational databases, data warehouse and tools for data transformation usable for Precision Agriculture. Internet of Things is not a new technology in agriculture. Sensors collect data not only from operation of agricultural machinery, but they are already monitoring the operation process of entire farms. Often, solutions are provided to farmers in the form of cloud services. In general, IoT is constantly growing in terms of data volumes, which needs to be effectively stored, processed, and analysed. The Big Data and IoT area is still hindered by lack of standardization. Specifically, in agriculture, there is still a great potential in the efficient usage of
Czech name
Processing og Big Data in Internet of Things and Precision Agriculture
Czech description
The main focus of the paper is the analysis of various types of agriculture data and open source operational databases and platforms for data collection and data warehousing suitable for storing data obtained from the Internet of Things and Precision Agriculture. The methodical approach consists of primary analysis of current state of operational databases, data warehouse and tools for data transformation usable for Precision Agriculture. Internet of Things is not a new technology in agriculture. Sensors collect data not only from operation of agricultural machinery, but they are already monitoring the operation process of entire farms. Often, solutions are provided to farmers in the form of cloud services. In general, IoT is constantly growing in terms of data volumes, which needs to be effectively stored, processed, and analysed. The Big Data and IoT area is still hindered by lack of standardization. Specifically, in agriculture, there is still a great potential in the efficient usage of
Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS - of the 27th International Scientific Conference Agrarian Perspectives XXVII. Food Safety – Food Security
ISBN
978-80-213-2890-7
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
353-358
Publisher name
Czech University of Life Sciences Prague
Place of publication
PRaha
Event location
Praha
Event date
Sep 19, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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