Estimation of winter wheat nitrogen status and prediction of crop yield by satellite and proximal sensing

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43921650" target="_blank" >RIV/62156489:43210/21:43921650 - isvavai.cz</a>

Výsledek na webu

<a href="https://mendelnet.cz/media/mnet_2021_full.pdf" target="_blank" >https://mendelnet.cz/media/mnet_2021_full.pdf</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Estimation of winter wheat nitrogen status and prediction of crop yield by satellite and proximal sensing

Popis výsledku v původním jazyce

Remote and proximal sensing of crop has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. In this work, we take advantage of vegetation indices for an advanced monitoring of spatial variability of winter wheat biophysical parameters, nitrogen status and prediction of crop yield estimation. Input data were obtained from farm field trials with winter wheat in 2019 and 2020 at Zdounky and Rašovice (Czech Republic) with a total area of 136 ha. To estimate the crop parameters, a plant sampling was realized in the stem elongation vegetation phase and later the grain sampling before harvest. Spectral properties were obtained from the satellite imagery of Sentinel-2 as the set of broadband vegetation indices (GNDVI, NDRE, NDVI, NRERI, RENDVI) and proximal crop sensor systems (Fritzmeier ISARIA, AgLeader OptRx). Spatial data were processed and analyzed using tools of geographic information systems and then statistically evaluated relationships between variables by using correlation analysis. The finding of high level of correlation between in-vegetation crop sensing and grain yield showed the possibility to identify yield spatial variability by both sensing systems in early stage of crop growth. This can be implemented for development of decision support tools for yield zoning in site specific crop management - precision farming.

Název v anglickém jazyce

Estimation of winter wheat nitrogen status and prediction of crop yield by satellite and proximal sensing

Popis výsledku anglicky

Remote and proximal sensing of crop has been widely used in the last decades for agricultural applications, both for assessing vegetation condition and for subsequent yield prediction. In this work, we take advantage of vegetation indices for an advanced monitoring of spatial variability of winter wheat biophysical parameters, nitrogen status and prediction of crop yield estimation. Input data were obtained from farm field trials with winter wheat in 2019 and 2020 at Zdounky and Rašovice (Czech Republic) with a total area of 136 ha. To estimate the crop parameters, a plant sampling was realized in the stem elongation vegetation phase and later the grain sampling before harvest. Spectral properties were obtained from the satellite imagery of Sentinel-2 as the set of broadband vegetation indices (GNDVI, NDRE, NDVI, NRERI, RENDVI) and proximal crop sensor systems (Fritzmeier ISARIA, AgLeader OptRx). Spatial data were processed and analyzed using tools of geographic information systems and then statistically evaluated relationships between variables by using correlation analysis. The finding of high level of correlation between in-vegetation crop sensing and grain yield showed the possibility to identify yield spatial variability by both sensing systems in early stage of crop growth. This can be implemented for development of decision support tools for yield zoning in site specific crop management - precision farming.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

40101 - Agriculture

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název statě ve sborníku

MendelNet 2021: Proceedings of International PhD Students Conference

ISBN

978-80-7509-821-4

ISSN

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e-ISSN

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Počet stran výsledku

6

Strana od-do

55-60

Název nakladatele

Mendelova univerzita v Brně

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

10. 11. 2021

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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