Possibilities of Using a Multispectral Camera to Assess the Effects of Biostimulant Application in Soybean Cultivation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12220%2F25%3A43911037" target="_blank" >RIV/60076658:12220/25:43911037 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/25/11/3464" target="_blank" >https://www.mdpi.com/1424-8220/25/11/3464</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s25113464" target="_blank" >10.3390/s25113464</a>
Alternative languages
Result language
angličtina
Original language name
Possibilities of Using a Multispectral Camera to Assess the Effects of Biostimulant Application in Soybean Cultivation
Original language description
Soybean cultivation plays a crucial role in the global food system, providing raw materials for both the food and feed industries. To enhance cultivation efficiency, plant biostimulants are used to improve metabolism and stimulate growth. A key aspect of modern cultivation is the ability to rapidly and non-invasively assess crop status. One such method involves the use of drones equipped with multispectral cameras. This paper presents the results of an experimental study on soybean cultivation involving a natural biostimulant in the form of Epilobium angustifolium extract (commonly known as fireweed) and a commercial seaweed-based biostimulant, Kelpak. The research was conducted at an experimental farm in eastern Poland. The effectiveness of the preparations was evaluated using a drone-mounted multispectral camera. Changes in the values of selected spectral indices were analyzed: the Normalized Difference Red Edge Index (NDRE), the Leaf Chlorophyll Index (LCI), and the Optimized Soil-Adjusted Vegetation Index (OSAVI). The study included a control group treated with pure water. Mathematical and statistical analyses of the mean values and standard deviations of the indices were conducted. The results demonstrated that multispectral scanning allows for the detection of significant differences between the effects of the E. angustifolium extract, the seaweed-based biostimulant, and the water control. These findings confirm the utility of this method for assessing the effectiveness of biostimulant applications in soybean cultivation.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10406 - Analytical chemistry
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors
ISSN
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e-ISSN
1424-8220
Volume of the periodical
25
Issue of the periodical within the volume
11
Country of publishing house
CH - SWITZERLAND
Number of pages
28
Pages from-to
"MAY 30 2025"
UT code for WoS article
001506098500001
EID of the result in the Scopus database
2-s2.0-105007743026