Advanced Visualisation of Big Data for Agriculture as Part of DataBio Development

CHARVÁT, Karel, Tomáš ŘEZNÍK, Vojtěch LUKAS, Karel junior CHARVÁT, Karel JEDLIČKA, Raul PALMA a Raitis BERZINS. Advanced Visualisation of Big Data for Agriculture as Part of DataBio Development. Online. In IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM. NEW YORK: IEEE, 2018, s. 415-418. ISBN 978-1-5386-7150-4.

Základní údaje

Originální název

Advanced Visualisation of Big Data for Agriculture as Part of DataBio Development

Název anglicky

Advanced Visualisation of Big Data for Agriculture as Part of DataBio Development

Autoři

CHARVÁT, Karel (203 Česká republika), Tomáš ŘEZNÍK (203 Česká republika, garant, domácí), Vojtěch LUKAS (203 Česká republika), Karel junior CHARVÁT (203 Česká republika), Karel JEDLIČKA (203 Česká republika), Raul PALMA (616 Polsko) a Raitis BERZINS (428 Lotyšsko)

Vydání

NEW YORK, IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, od s. 415-418, 4 s. 2018

Nakladatel

IEEE

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Další údaje

Jazyk

čeština

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14310/18:00104543

Organizační jednotka

Přírodovědecká fakulta

ISBN

978-1-5386-7150-4

UT WoS

000451039800105

Klíčová slova anglicky

precision agriculture; big data; yield productivity zones; visualisation

Příznaky

Mezinárodní význam, Recenzováno

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Anotace

V originále

There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with respect to (inter)national strategies. Farmers need to measure and understand the impact of huge amount and variety of data which drive overall quality and yield in their fields. Among others, those are local weather data, Global Navigation System of Systems data, orthophotos and satellite imagery, data on soil specifics etc. A strong need to secure Big Data arises due to various repositories and heterogeneous sources. Data storage and visualisation requirements are in some cases competing as they are a common interest as well as a threat that helps one part of a value chain to gain a higher profit. As demonstrated in this paper, handling (Big) data is therefore a sensitive topic, where trust of producers on data security is essential.

Anglicky

There is an increasing tension in agriculture between the requirements to assure full safety on the one hand and keep costs under control on the other hand, both with respect to (inter)national strategies. Farmers need to measure and understand the impact of huge amount and variety of data which drive overall quality and yield in their fields. Among others, those are local weather data, Global Navigation System of Systems data, orthophotos and satellite imagery, data on soil specifics etc. A strong need to secure Big Data arises due to various repositories and heterogeneous sources. Data storage and visualisation requirements are in some cases competing as they are a common interest as well as a threat that helps one part of a value chain to gain a higher profit. As demonstrated in this paper, handling (Big) data is therefore a sensitive topic, where trust of producers on data security is essential.