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JANOUŠEK, J. JAMBOR, V. MARCOŇ, P. DOHNAL, P. SYNKOVÁ, H. FIALA, P.
Originální název
Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
The optimum corn harvest time differs between individual harvest scenarios, depending on the intended use of the crop and on the technical equipment of the actual farm. It is therefore economically significant to specify the period as precisely as possible. The harvest maturity of silage corn is currently determined from the targeted sampling of plants cultivated over large areas. In this context, the paper presents an alternative, more detail-oriented approach for estimating the correct harvest time; the method focuses on the relationship between the ripeness data obtained via photogrammetry and the parameters produced by the chemical analysis of corn. The relevant imaging methodology utilizing a spectral camera-equipped unmanned aerial vehicle (UAV) allows the user to acquire the spectral reflectance values and to compute the vegetation indices. Furthermore, the authors discuss the statistical data analysis centered on both the nutritional values found in the laboratory corn samples and on the information obtained from the multispectral images. This discussion is associated with a detailed insight into the computation of correlation coefficients. Statistically significant linear relationships between the vegetation indices, the normalized difference red edge index (NDRE) and the normalized difference vegetation index (NDVI) in particular, and nutritional values such as dry matter, starch, and crude protein are evaluated to indicate different aspects of and paths toward predicting the optimum harvest time. The results are discussed in terms of the actual limitations of the method, the benefits for agricultural practice, and planned research.
Klíčová slova
multispectral imaging; vegetation indices; nutritional analysis; correlation; photogrammetry; optimal harvest time; UAV
Autoři
JANOUŠEK, J.; JAMBOR, V.; MARCOŇ, P.; DOHNAL, P.; SYNKOVÁ, H.; FIALA, P.
Vydáno
11. 5. 2021
Nakladatel
MDPI
Místo
BASEL
ISSN
2072-4292
Periodikum
Remote Sensing
Ročník
13
Číslo
10
Stát
Švýcarská konfederace
Strany od
1
Strany do
20
Strany počet
19
URL
https://www.mdpi.com/2072-4292/13/10/1878
Plný text v Digitální knihovně
http://hdl.handle.net/11012/196730
BibTex
@article{BUT171496, author="Jiří {Janoušek} and Václav {Jambor} and Petr {Marcoň} and Přemysl {Dohnal} and Hana {Synková} and Pavel {Fiala}", title="Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops", journal="Remote Sensing", year="2021", volume="13", number="10", pages="1--20", doi="10.3390/rs13101878", issn="2072-4292", url="https://www.mdpi.com/2072-4292/13/10/1878" }