Use of sentinel-2 data and proximal sensing by AgLeader OptRx for estimation of nutritional status of winter wheat

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F21%3A43921655" target="_blank" >RIV/62156489:43210/21:43921655 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.5593/sgem2021/2.1/s10.76" target="_blank" >https://doi.org/10.5593/sgem2021/2.1/s10.76</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgem2021/2.1/s10.76" target="_blank" >10.5593/sgem2021/2.1/s10.76</a>

Result language

angličtina

Original language name

Use of sentinel-2 data and proximal sensing by AgLeader OptRx for estimation of nutritional status of winter wheat

Original language description

Assessment of the nutritional status of crop stand and other plant biophysical parameters can be a suitable source of information for the application of nitrogen fertilizers in precision agriculture, especially in conditions of high spatial heterogeneity of farm fields. Determination of the application rate of nitrogen fertilizers can be performed based on the plant diagnosis and estimation of plant biophysical parameters, such as nitrogen content, total amount of aboveground biomass and nitrogen uptake (Nupt), or on the basis of non-invasive sensing methods via measurement of spectral reflectance of plants. The aim of this study was to verify and compare the methods of proximal and remote sensing for the evaluation of crop parameters of cereals. Input data were obtained from farm field trials with winter wheat in 2020 at Rasovice (Czech Republic) with a total area of 40 ha. To estimate the total amount of aboveground biomass, the nitrogen content in the plants and the nitrogen uptake, a plant sampling was performed with 21 samples in the stem elongation vegetation phase (BBCH 32-35). Spectral properties were obtained from the from satellite imagery of Sentinel-2 as the set of broadband vegetation indices (EVI, NDMI, NDVI, NDRE, REIP, etc.) and proximal crop sensor system AgLeader OptRx (vegetation index NDRE only). Spatial data were processed and analyzed using tools of geographic information systems and then statistically evaluated relationships between variables by using correlation analysis. The high level of correlation coefficients was reached between Nupt and biomass, which shows a significant influence of the amount of aboveground biomass on the nitrogen utilization. High values of the correlation coefficient were also achieved between Nupt and vegetation indices Sentinel-2 (r = 0.679 - 0.888 for all calculated indices), the highest value was reached for the EVI index. Also high level of correlation was achieved between Nupt and NDRE index from the proximal sensing system (r = 0.830). In this case both sensing platforms performed results in, which can be used for whole field mapping of crop status and serves as the input information for variable rate application of nitrogen fertilizers.

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

—

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

SGEM2021. Soils: Conference Proceedings

ISBN

978-619-7603-22-4

ISSN

1314-2704

e-ISSN

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Number of pages

8

Pages from-to

373-380

Publisher name

STEF92 Technology Ltd.

Place of publication

Sofie

Event location

Albena

Event date

Aug 16, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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