USAGE OF UNMANNED AERIAL VEHICLES FOR DETECTION OF PLANT ANOMALIES

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F22%3A10251084" target="_blank" >RIV/61989100:27510/22:10251084 - isvavai.cz</a>

Výsledek na webu

<a href="https://idimt.org/wp-content/uploads/2022/11/IDIMT-2022-proceedings-final.pdf" target="_blank" >https://idimt.org/wp-content/uploads/2022/11/IDIMT-2022-proceedings-final.pdf</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.35011/IDIMT-2022-367" target="_blank" >10.35011/IDIMT-2022-367</a>

Jazyk výsledku

angličtina

Název v původním jazyce

USAGE OF UNMANNED AERIAL VEHICLES FOR DETECTION OF PLANT ANOMALIES

Popis výsledku v původním jazyce

Plant anomalies are one of the key problems in precision agriculture (PA). Nowadays the quickest way to find out and identify areas with anomalies and the reasons for them is to use unmanned aerial vehicles (UAV) mapping. This paper examines the use of UAVs for the detection of plant anomalies in various areas. The main aim is to introduce the possibility of using UAVs for the detection of plant anomalies to maximise crop yield from the monitored area where PA is employed. This paper describes case studies concentrated on this area of interest. In future, research will be focused on comparing infrared (IR) satellite images and UAV images to identify plant anomalies before the plants are above the ground (plant anomalies with seeds and roots). (C) 2022 IDIMT. All rights reserved.

Název v anglickém jazyce

USAGE OF UNMANNED AERIAL VEHICLES FOR DETECTION OF PLANT ANOMALIES

Popis výsledku anglicky

Plant anomalies are one of the key problems in precision agriculture (PA). Nowadays the quickest way to find out and identify areas with anomalies and the reasons for them is to use unmanned aerial vehicles (UAV) mapping. This paper examines the use of UAVs for the detection of plant anomalies in various areas. The main aim is to introduce the possibility of using UAVs for the detection of plant anomalies to maximise crop yield from the monitored area where PA is employed. This paper describes case studies concentrated on this area of interest. In future, research will be focused on comparing infrared (IR) satellite images and UAV images to identify plant anomalies before the plants are above the ground (plant anomalies with seeds and roots). (C) 2022 IDIMT. All rights reserved.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název statě ve sborníku

IDIMT-2022 : Digitalization of Society, Business and Management in a Pandemic : 30th Interdisciplinary Information Management Talks : Sept. 7-9, 2022, Prague, Czech Republic

ISBN

978-3-99113-758-0

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

367-374

Název nakladatele

Trauner

Místo vydání

Linz

Místo konání akce

Praha

Datum konání akce

7. 9. 2022

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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