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JANOUŠEK, J. MARCOŇ, P. DOHNAL, P. JAMBOR, V. SYNKOVÁ, H. RAICHL, P.
Originální název
Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
Estimating the optimum harvest time and yield embodies an essential food security factor. Vegetation indices have proven to be an effective tool for widescale in-field plant health mapping. A drone-based multispectral camera then conveniently allows acquiring data on the condition of the plant. This article examines and discusses the relationships between vegetation indices and nutritiolnal values that have been determined via chemical analysis of plant samples collected in the field. In this context, emphasis is placed on the normalized difference red edge index (NDRE), normalized difference vegetation index (NDVI), green normalized difference vegetation index (GNDVI), and nutritional values, such as those of dry matter. The relationships between the variables were correlated and described by means of regression models. This produced equations that are applicable for estimating the quantity of dry matter and thus determining the optimum corn harvest time. The obtained equations were validated on five different types of corn hybrids in fields within the South Moravian Region, Moravia, the Czech Republic.
Klíčová slova
corn; multispectral imaging; vegetation indices; nutritional analysis; correlation; photogrammetry; optimal harvest time; UAV
Autoři
JANOUŠEK, J.; MARCOŇ, P.; DOHNAL, P.; JAMBOR, V.; SYNKOVÁ, H.; RAICHL, P.
Vydáno
16. 6. 2023
Nakladatel
MDPI
Místo
BASEL
ISSN
2072-4292
Periodikum
Remote Sensing
Ročník
15
Číslo
12
Stát
Švýcarská konfederace
Strany od
1
Strany do
19
Strany počet
URL
https://www.mdpi.com/2072-4292/15/12/3152
Plný text v Digitální knihovně
http://hdl.handle.net/11012/213600
BibTex
@article{BUT183996, author="Jiří {Janoušek} and Petr {Marcoň} and Přemysl {Dohnal} and Václav {Jambor} and Hana {Synková} and Petr {Raichl}", title="Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging", journal="Remote Sensing", year="2023", volume="15", number="12", pages="1--19", doi="10.3390/rs15123152", issn="2072-4292", url="https://www.mdpi.com/2072-4292/15/12/3152" }