Publication detail

Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops

JANOUŠEK, J. JAMBOR, V. MARCOŇ, P. DOHNAL, P. SYNKOVÁ, H. FIALA, P.

Original Title

Using UAV-Based Photogrammetry to Obtain Correlation between the Vegetation Indices and Chemical Analysis of Agricultural Crops

Type

journal article in Web of Science

Language

English

Original Abstract

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.

Keywords

multispectral imaging; vegetation indices; nutritional analysis; correlation; photogrammetry; optimal harvest time; UAV

Authors

JANOUŠEK, J.; JAMBOR, V.; MARCOŇ, P.; DOHNAL, P.; SYNKOVÁ, H.; FIALA, P.

Released

11. 5. 2021

Publisher

MDPI

Location

BASEL

ISBN

2072-4292

Periodical

Remote Sensing

Year of study

13

Number

10

State

Swiss Confederation

Pages from

1

Pages to

20

Pages count

19

URL

https://www.mdpi.com/2072-4292/13/10/1878

Full text in the Digital Library

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"
}