Big Data Management Tools for Smart Farming Data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F19%3A81074" target="_blank" >RIV/60460709:41110/19:81074 - isvavai.cz</a>

Výsledek na webu

<a href="https://efita-org.eu/wp-content/uploads/2020/03/EFITA_Proceedings_e-book.pdf" target="_blank" >https://efita-org.eu/wp-content/uploads/2020/03/EFITA_Proceedings_e-book.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

čeština

Název v původním jazyce

Big Data Management Tools for Smart Farming Data

Popis výsledku v původním jazyce

This paper deals with the issue of role of middleware in the process of data transformation, aggregation, storage and analysis within the concept of Smart agriculture data used in the concept of precision agriculture is very diverse. Not only in terms of sources but also formats. Farms use small sensor data as well as large files from satellite systems for various analyzes. Selected middleware services will be evaluated using a multiple-criteria decision analysis. In agriculture, the collected data need to be continuously analyzed and worked with. Data processing procedures, especially with regard to Big Data, are not yet properly addressed in agriculture. As the volume of data collected grows, the demands for efficient storage grows as well. It is necessary to deal with this issue. The farmer s data sources can be divided between the data acquired by the farm from its own internal, private data source and data obtained externally. External data can be used from public open data databases or purchas

Název v anglickém jazyce

Big Data Management Tools for Smart Farming Data

Popis výsledku anglicky

This paper deals with the issue of role of middleware in the process of data transformation, aggregation, storage and analysis within the concept of Smart agriculture data used in the concept of precision agriculture is very diverse. Not only in terms of sources but also formats. Farms use small sensor data as well as large files from satellite systems for various analyzes. Selected middleware services will be evaluated using a multiple-criteria decision analysis. In agriculture, the collected data need to be continuously analyzed and worked with. Data processing procedures, especially with regard to Big Data, are not yet properly addressed in agriculture. As the volume of data collected grows, the demands for efficient storage grows as well. It is necessary to deal with this issue. The farmer s data sources can be divided between the data acquired by the farm from its own internal, private data source and data obtained externally. External data can be used from public open data databases or purchas

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

EFITA-HAICTA-WCCA Congress

ISBN

978-618-84798-0-7

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

0-6

Název nakladatele

Neuveden

Místo vydání

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Místo konání akce

Greece

Datum konání akce

27. 6. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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