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JANOUŠEK, J. MARCOŇ, P. DOHNAL, P. JAMBOR, V. SYNKOVÁ, H. RAICHL, P.
Original Title
Predicting the Optimum Corn Harvest Time via the Quantity of Dry Matter Determined with Vegetation Indices Obtained from Multispectral Field Imaging
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
corn; multispectral imaging; vegetation indices; nutritional analysis; correlation; photogrammetry; optimal harvest time; UAV
Authors
JANOUŠEK, J.; MARCOŇ, P.; DOHNAL, P.; JAMBOR, V.; SYNKOVÁ, H.; RAICHL, P.
Released
16. 6. 2023
Publisher
MDPI
Location
BASEL
ISBN
2072-4292
Periodical
Remote Sensing
Year of study
15
Number
12
State
Swiss Confederation
Pages from
1
Pages to
19
Pages count
URL
https://www.mdpi.com/2072-4292/15/12/3152
Full text in the Digital Library
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" }