Evaluation of UAV and Sentinel 2 images to estimate condition of hop (Humulus lupulus L.) plants

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F14864347%3A_____%2F21%3AN0000020" target="_blank" >RIV/14864347:_____/21:N0000020 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/60460709:41210/21:89862 RIV/60460709:41310/21:89862

Výsledek na webu

<a href="https://www.actahort.org/books/1328/1328_13.htm" target="_blank" >https://www.actahort.org/books/1328/1328_13.htm</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.17660/ActaHortic.2021.1328.13" target="_blank" >10.17660/ActaHortic.2021.1328.13</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of UAV and Sentinel 2 images to estimate condition of hop (Humulus lupulus L.) plants

Popis výsledku v původním jazyce

Hop garden structure and crop condition can be monitored by many in situ methods but remote sensing offers possibilities of non-destructive monitoring. An organic hop garden with the cultivars ‘Žatecký červeňák’ and ‘Premiant’, and a conventional hop garden with the cultivars ‘Agnus’, ‘Premiant’ and ‘Sládek’ were selected for the experiment. In this study, unmanned aerial vehicle (UAV, eBee X senseFly UAV) equipped with Red Green Blue (RGB), Sensor Optimized for Drone Application (S.O.D.A.), and Sequoia cameras as well as Sentinel 2 satellite images were used for monitoring of hop plants throughout the whole vegetation season. UAV images were pre-processed in Pix4Dmapper software and orthophoto mosaics were derived. RGB vegetation indices and normalized difference vegetation index (NDVI) were calculated for each cultivar from UAV and satellite images. Resulted binary model of portion with green leaves and soil was extracted on the base of threshold value and served for detection of plants area. NDVI spectral index was calculated in order to describe plant condition during the growing season. The results showed significant differences in NDVI values among the conventional and organic hop gardens and among the cultivars as well and showed applicability of UAV and satellite images. Green area of the plants derived from the UAV images was influenced by design and flight parameters of this unmanned aerial system and crop structure.

Název v anglickém jazyce

Evaluation of UAV and Sentinel 2 images to estimate condition of hop (Humulus lupulus L.) plants

Popis výsledku anglicky

Hop garden structure and crop condition can be monitored by many in situ methods but remote sensing offers possibilities of non-destructive monitoring. An organic hop garden with the cultivars ‘Žatecký červeňák’ and ‘Premiant’, and a conventional hop garden with the cultivars ‘Agnus’, ‘Premiant’ and ‘Sládek’ were selected for the experiment. In this study, unmanned aerial vehicle (UAV, eBee X senseFly UAV) equipped with Red Green Blue (RGB), Sensor Optimized for Drone Application (S.O.D.A.), and Sequoia cameras as well as Sentinel 2 satellite images were used for monitoring of hop plants throughout the whole vegetation season. UAV images were pre-processed in Pix4Dmapper software and orthophoto mosaics were derived. RGB vegetation indices and normalized difference vegetation index (NDVI) were calculated for each cultivar from UAV and satellite images. Resulted binary model of portion with green leaves and soil was extracted on the base of threshold value and served for detection of plants area. NDVI spectral index was calculated in order to describe plant condition during the growing season. The results showed significant differences in NDVI values among the conventional and organic hop gardens and among the cultivars as well and showed applicability of UAV and satellite images. Green area of the plants derived from the UAV images was influenced by design and flight parameters of this unmanned aerial system and crop structure.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

40101 - Agriculture

Projekt

<a href="/cs/project/QK1910170" target="_blank" >QK1910170: Zajištění dlouhodobé konkurenceschopnosti českého chmelařství na základě implementace principů precizního zemědělství a technologií smart farming</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

Acta Horticulturae 1328

ISBN

978-94-62613-25-6

ISSN

0567-7572

e-ISSN

2406-6168

Počet stran výsledku

8

Strana od-do

95-102

Název nakladatele

International Society for Horticultural Science

Místo vydání

Leuven

Místo konání akce

Stuttgart

Datum konání akce

8. 3. 2021

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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