Big Data Management Tools for Smart Farming Data

Result code in 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>

Result on the web

<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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Result language

čeština

Original language name

Big Data Management Tools for Smart Farming Data

Original language description

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

Czech name

Big Data Management Tools for Smart Farming Data

Czech description

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

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)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

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

Article name in the collection

EFITA-HAICTA-WCCA Congress

ISBN

978-618-84798-0-7

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

0-6

Publisher name

Neuveden

Place of publication

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Event location

Greece

Event date

Jun 27, 2020

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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