Use of unmanned aerial remote sensing for in-season diagnosis of winter wheat nitrogen status

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43921654" target="_blank" >RIV/62156489:43210/21:43921654 - isvavai.cz</a>

Result on the web

<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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Result language

angličtina

Original language name

Use of unmanned aerial remote sensing for in-season diagnosis of winter wheat nitrogen status

Original language description

Unmanned aerial survey allows more precise diagnosis of the plants in the site-specific crop management by the ultra-high spatial resolution of raster data. This study is focused on the selection of the most suitable sampling size by analysis of multispectral UAV images and its comparison with Sentinel-2 satellite data, both aimed on the diagnosis of the nutritional status of winter wheat. The data used for this study were collected in 2020 from the field experiment located in Kojčice (Pelhřimov, Czech Republic) on two plots with the area of 16.2 ha and 12.1 ha. The survey was realized by plant sampling in irregular grid for estimation of N content, total biomass, Nitrogen uptake (Nupt) and Nitrogen Nutrition Index (NNI) in two vegetation stages important for the application of nitrogen fertilizers to cereals (BBCH 31, BBCH 51). Simultaneously, aerial imaging was carried out by UAV equipped with a MicaSense Altum multispectral camera. The results of statistical evaluation by correlation and regression analysis showed a significant relationship between the monitored crop parameters and vegetation indices from UAV survey and from Sentinel-2 images. Higher sensitivity to the amount of aboveground biomass was proved by the NDVI and SRI indices, on the other hand, the NDRE and RENDVI indices showed higher correlations to the Nupt. The comparison of different buffer zone analysis of UAV data showed the improvement of the estimation accuracy by the increase of the sampling size to the 10 m. Explanation of this result requires further study concentrating on the detailed investigation of the micro-variability of crop parameters within the sampling site.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

40101 - Agriculture

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2021

Confidentiality

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

Article name in the collection

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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Number of pages

6

Pages from-to

37-42

Publisher name

Mendelova univerzita v Brně

Place of publication

Brno

Event location

Brno

Event date

Nov 10, 2021

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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