Construction of a Multisensor UAV System for Early Detection of Forest Pests
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F21%3A43904034" target="_blank" >RIV/60076658:12310/21:43904034 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-63270-0_78" target="_blank" >http://dx.doi.org/10.1007/978-3-030-63270-0_78</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-63270-0_78" target="_blank" >10.1007/978-3-030-63270-0_78</a>
Alternative languages
Result language
angličtina
Original language name
Construction of a Multisensor UAV System for Early Detection of Forest Pests
Original language description
The use of unmanned aerial vehicles (UAVs) is becoming increasingly important in recent years. The usage is versatile, as UAVs are able to carry various load including complex sensor systems. However, the usage in special applications can present an issue. There is only a small number of special sensors that are suitable for operation on unmanned aerial vehicles. Mostly proprietary devices are available, which, on the other hand, may not be entirely suitable for use in conjunction with other devices or specific type of UAV. In order to move remote sensing applications from the experimental phase to the real deployment, it is necessary to come up with new methodologies a technology that can be verified using UAVs. One such application is remote sensing of forest areas by means of special spectral cameras, to allow early detection of infested bark beetle vegetation to be carried out. To accomplish this, it was necessary to create a specialized system containing both hardware and software components.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing V
ISBN
978-3-030-63269-4
ISSN
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e-ISSN
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Number of pages
19
Pages from-to
1164-1182
Publisher name
Springer
Place of publication
Cham
Event location
Zbarazh, Ukraine
Event date
Sep 23, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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