Number of the records: 1  

Advances in Intelligent Systems and Computing V

  1. 1.
    0538832 - BC 2022 RIV DE eng M - Monography Chapter
    Novák, M. - Geyer, J. - Prokýšek, M. - Hais, M. - Grill, S. - Davídková, Markéta - Doležal, Petr - Hofmann, P. - Paudyal, R.
    Construction of a multisensor UAV system for early detection of forest pests.
    Advances in Intelligent Systems and Computing V. Cham: Springer, 2021 - (Shakhovska, N.; Medykovskyy, M.), s. 1164-1182. ISBN 978-3-030-63269-4
    Institutional support: RVO:60077344
    Keywords : UAV * sensor * forestry
    OECD category: Agronomy, plant breeding and plant protection
    https://link.springer.com/chapter/10.1007%2F978-3-030-63270-0_78

    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.
    Permanent Link: http://hdl.handle.net/11104/0327706

     
     
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.